%PDF-1.3 1 0 obj << /Kids [ 3 0 R 4 0 R 5 0 R 6 0 R 7 0 R 8 0 R 9 0 R 10 0 R 11 0 R ] /Type /Pages /Count 9 >> endobj 2 0 obj << /Title (Dual Structured Convolutional Neural Network With Feature Augmentation for Quantitative Characterization of Tissue Histology) /Producer (PyPDF2) /Author (Mira Valkonen\054 Kimmo Kartasalo\054 Kaisa Liimatainen\054 Matti Nykter\054 Leena Latonen\054 Pekka Ruusuvuori) /Subject (2017 IEEE International Conference on Computer Vision) >> endobj 3 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 13 0 R /Resources << /XObject << /x8 14 0 R /x6 17 0 R /x12 20 0 R /x10 23 0 R >> /ExtGState << /s9 26 0 R /s11 29 0 R /a0 << /CA 1 /ca 1 >> /R22 32 0 R /s5 33 0 R /s7 36 0 R >> /Font << /R29 39 0 R /F2 44 0 R /F1 45 0 R /R23 46 0 R /R25 49 0 R /R33 53 0 R /R27 57 0 R /R31 62 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI /ImageB ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 65 0 R 66 0 R 67 0 R 68 0 R 69 0 R 70 0 R 71 0 R 72 0 R 73 0 R 74 0 R 75 0 R 76 0 R 77 0 R ] >> endobj 4 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 78 0 R /Resources << /XObject << /R46 79 0 R >> /ExtGState << /R22 32 0 R >> /Font << /F2 80 0 R /R23 46 0 R /F1 81 0 R /R25 49 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 82 0 R 83 0 R 84 0 R 85 0 R 86 0 R 87 0 R ] >> endobj 5 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 88 0 R /Resources << /ExtGState << /R22 32 0 R >> /Font << /F2 89 0 R /R64 90 0 R /R66 93 0 R /R62 97 0 R /F1 102 0 R /R70 103 0 R /R25 49 0 R /R23 46 0 R /R68 108 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI /ImageB ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 111 0 R 112 0 R 113 0 R 114 0 R 115 0 R 116 0 R 117 0 R 118 0 R ] >> endobj 6 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 119 0 R /Resources << /XObject << /R84 120 0 R >> /ExtGState << /R22 32 0 R >> /Font << /F2 121 0 R /R64 90 0 R /R66 93 0 R /R62 97 0 R /R70 103 0 R /R25 49 0 R /R23 46 0 R /R85 122 0 R /F1 126 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 127 0 R 128 0 R 129 0 R 130 0 R 131 0 R 132 0 R 133 0 R 134 0 R ] >> endobj 7 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 135 0 R /Resources << /ExtGState << /R22 32 0 R >> /Font << /R108 136 0 R /F1 139 0 R /R102 140 0 R /R104 144 0 R /R106 147 0 R /F2 151 0 R /R64 90 0 R /R66 93 0 R /R62 97 0 R /R23 46 0 R /R25 49 0 R /R68 108 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI /ImageB ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 152 0 R 153 0 R 154 0 R 155 0 R 156 0 R 157 0 R 158 0 R ] >> endobj 8 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 159 0 R /Resources << /XObject << /R115 160 0 R >> /ExtGState << /R22 32 0 R >> /Font << /F1 161 0 R /F2 162 0 R /R64 90 0 R /R66 93 0 R /R23 46 0 R /R25 49 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 163 0 R ] >> endobj 9 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 164 0 R /Resources << /XObject << /R127 165 0 R /R126 166 0 R /R125 167 0 R /R124 168 0 R /R129 169 0 R /R128 170 0 R >> /ExtGState << /R22 32 0 R >> /Font << /R130 171 0 R /F2 175 0 R /R23 46 0 R /F1 176 0 R /R25 49 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 177 0 R 178 0 R 179 0 R ] >> endobj 10 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 180 0 R /Resources << /XObject << /R137 181 0 R /R141 182 0 R /R140 183 0 R /R142 184 0 R >> /ExtGState << /R22 32 0 R >> /Font << /F2 185 0 R /F1 186 0 R /R138 187 0 R /R23 46 0 R /R25 49 0 R /R33 53 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] >> /MediaBox [ 0 0 612 792 ] /Annots [ ] >> endobj 11 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 191 0 R /Resources << /ExtGState << /R22 32 0 R >> /Font << /F2 192 0 R /F1 193 0 R /R25 49 0 R /R33 53 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI /ImageB ] >> /MediaBox [ 0 0 612 792 ] /Annots [ ] >> endobj 12 0 obj << /Type /Catalog /Pages 1 0 R >> endobj 13 0 obj << /Length 16223 >> stream q q q 0.10000 0 0 0.10000 0 0 cm /R22 gs 0 g q 10 0 0 10 0 0 cm BT /R23 14.34620 Tf 1 0 0 1 74.15120 675.06700 Tm [ (Dual) -250.00600 (structur) 18.00400 (ed) -250.00400 (con) 40.00970 (v) 9.99625 (olutional) -249.99600 (neural) -249.99600 (netw) 10.00650 (ork) -250 (with) -250.01300 (featur) 17.98780 (e) -249.99800 (augmentation) ] TJ 67.78480 -17.93320 Td [ (f) 24.99150 (or) -249.99600 (quantitati) 9.99455 (v) 9.99625 (e) -250 (characterization) -250 (of) -250.01200 (tissue) -250.01000 (histology) ] TJ /R25 11.95520 Tf -85.84610 -37.85780 Td [ (Mira) -249.99800 (V) 110.99500 (alk) 9.98805 (onen) ] TJ /R27 11.95520 Tf 71.26410 0 Td [ (\077) -0.60039 ] TJ /R25 11.95520 Tf 5.85313 0 Td [ (\054) -250.01200 (Kimmo) -249.99400 (Kartasalo\054) -249.99300 (Kaisa) -250.01200 (Liimatainen\054) -249.99500 (Matti) -250 (Nykter) 39.99100 (\054) -250.01200 (Leena) -249.99700 (Latonen\054) -249.99300 (Pekka) -250.01000 (Ruusuvuori) ] TJ 79.67110 -13.94730 Td [ (F) 15.01580 (aculty) -250.01000 (of) -250.01400 (Medicine) -250.01400 (and) -249.98700 (Life) -250.00800 (Sciences\054) ] TJ -40.64800 -13.94800 Td [ (BioMediT) 69.99810 (ech\054) -250.00600 (Uni) 24.99570 (v) 14.98510 (ersity) -249.98900 (of) -250.01400 (T) 80.01470 (ampere\054) -249.99700 (T) 80.01470 (ampere\054) -249.99700 (Finland) ] TJ 30.28790 -13.94770 Td [ (T) 80.01470 (ampere) -250.00800 (Uni) 24.99570 (v) 14.98510 (ersity) -249.98900 (of) -250.01400 (T) 70.01640 (echnology) 65.01320 (\054) -250.01200 (Finland) ] TJ /R29 8.96640 Tf 31.98910 -13.94730 Td [ (\077) -0.90126 ] TJ /R31 8.96640 Tf 4.60781 0 Td (mira\056valkonen\100staff\056uta\056fi) Tj /R23 11.95520 Tf -93.11990 -41.04610 Td (Abstract) Tj /R33 9.96260 Tf -83.92770 -24.72700 Td [ (W) 91.98650 (e) -242.98300 (pr) 36.98520 (esent) -241.98900 (a) -243.01300 (dual) -242.99600 (con) 40 (volutional) -241.98900 (neur) 14.99010 (al) -243.00600 (network) -242.99100 (\050dCNN\051) ] TJ -11.95510 -11.95510 Td [ (ar) 36.98520 (c) 15.01280 (hitectur) 37.00300 (e) -329.00800 (for) -330.00500 (e) 19.99180 (xtr) 14.98650 (acting) -329.01900 (multi\055scale) -329.98800 (featur) 37.00120 (es) -329.00100 (fr) 44.98510 (om) -330.01600 (histo\055) ] TJ 11.95470 TL T* [ (lo) 10.01060 (gical) -270.01300 (tissue) -270.98700 (ima) 10.01300 (g) 10.00320 (es) -269.99300 (for) -270.99500 (the) -269.98700 (purpose) -270.98500 (of) -269.98200 (automated) -271.01600 (c) 15.01220 (har) 14.99500 (ac\055) ] TJ T* [ (terization) -284.01900 (of) -283 (tissue) -284.00400 (in) -284.01900 (digital) -283.00700 (patholo) 9.99833 (gy) 55.01040 (\056) -410.98800 (The) -284.01600 (dual) -284.00900 (structur) 37.01340 (e) ] TJ T* [ (consists) -261.01600 (of) -259.98400 (two) -260.99000 (identical) -260 (con) 40 (volutional) -261.00500 (neur) 14.99010 (al) -259.98400 (networks) -260.98100 (ap\055) ] TJ 11.95590 TL T* [ (plied) -278.01200 (to) -279 (input) -278.00300 (ima) 10.01300 (g) 10.00320 (es) -277.99200 (with) -277.99900 (dif) 18.01660 (fer) 36.98280 (ent) -279.00500 (scales\054) -284.99400 (that) -278.00800 (ar) 36.98650 (e) -279.01700 (mer) 37.01830 (g) 10.00320 (ed) ] TJ 11.95510 TL T* [ (to) 10.01060 (g) 10.00320 (ether) -243.00800 (and) -241.98400 (stac) 20.01010 (k) 9.99343 (ed) -243.01700 (with) -242.00500 (two) -242.99300 (fully) -242.01600 (connected) -243.00800 (layer) 10.00810 (s\056) -306.99800 (It) -243.01300 (has) ] TJ T* [ (been) -319.98500 (ac) 19.99730 (knowledg) 9.99098 (ed) -319.98500 (that) -320 (deep) -319.98500 (networks) -319.99100 (can) -320.02000 (be) -319.98600 (used) -320.01300 (to) -320.01300 (e) 19.99180 (x\055) ] TJ T* [ (tr) 14.99140 (act) -271.00600 (higher) 19.98130 (\055or) 36.98160 (der) -271.00600 (featur) 37 (es\054) -277.00900 (and) -270.99900 (ther) 36.98770 (efor) 36.98890 (e) 9.99343 (\054) -275.99100 (the) -271.98600 (network) -270.98700 (out\055) ] TJ T* [ (put) -256.99900 (at) -257.00400 <026e616c> -256.99400 (fully) -256.99400 (connected) -255.98700 (layer) -257.00600 (was) -256.99100 (used) -257.00400 (as) -257.00400 (a) -257.01100 (deep) -257.01300 (dCNN) ] TJ T* [ (featur) 37 (e) -293.99400 (vector) 111.00600 (\056) -440.98300 (Further) 110.99100 (\054) -305.00500 (engineer) 36.98890 (ed) -293.00900 (featur) 37.00120 (es\054) -305.00300 (shown) -293.99500 (in) -294.01700 (pr) 36.98650 (e\055) ] TJ 11.95590 TL T* [ (vious) -302.00900 (studies) -301.99600 (to) -302.01600 (captur) 36.99870 (e) -301.99400 (important) -302.01700 (c) 15.01220 (har) 14.99500 (acteristics) -301.98900 (of) -302.01600 (tissue) ] TJ 11.95510 TL T* [ (structur) 37.01280 (e) -402.99600 (and) -403.99600 (morpholo) 10 (gy) 55.01170 (\054) -442.00200 (wer) 36.98890 (e) -402.99600 (inte) 40.00800 (gr) 14.99010 (ated) -403.99900 (to) -403.01900 (the) -404.00400 (featur) 37.00120 (e) ] TJ T* [ (e) 19.99240 (xtr) 14.98710 (actor) -389.99400 (module) 14.99870 (\056) -731.01300 (The) -391.01800 (acquir) 36.99870 (ed) -390.01200 (quantitative) -390.00100 (featur) 37.00120 (e) -390.99800 (r) 37.01830 (ep\055) ] TJ T* [ (r) 37.01960 (esentation) -414.99000 (can) -414.98300 (be) -414.98800 (further) -414.99700 (utilized) -414.98800 (to) -415.99700 (tr) 14.99010 (ain) -415.01200 (a) -414.98500 (discrimina\055) ] TJ T* [ (tive) -374.01000 (model) -374 (for) -373.99800 (classifying) -372.98800 (tissue) -373.98900 (types\056) -681.99200 (Mac) 15.01960 (hine) -374.00400 (learning) ] TJ 11.95630 TL T* [ (based) -260.99900 (methods) -262.00800 (for) -260.99700 (detection) -262.01100 (of) -261.00300 (r) 37.01960 (e) 39.98840 (gions) -262.00700 (of) -261.00300 (inter) 36.99630 (est\054) -263.98300 (or) -261.98300 (tissue) ] TJ 11.95510 TL T* [ (type) -390.01000 <636c6173736902636174696f6e> -389.99500 (will) -388.99900 (advance) -390.00600 (the) -390.00600 (tr) 14.99010 (ansition) -390.00600 (to) -390.00100 (decision) ] TJ T* [ (support) -412.99000 (systems) -413.01000 (and) -411.99500 (computer) -413.00700 (aided) -413.01100 (dia) 10.01550 (gnosis) -412.99500 (in) -413.01700 (digital) ] TJ T* [ (patholo) 9.99833 (gy) 55.01100 (\056) -406.98800 (Her) 37.01830 (e) -281.99700 (we) -281.98400 (apply) -282.01300 (the) -283.00400 (pr) 44.98390 (oposed) -282.00900 (featur) 37.00120 (e\055augmented) ] TJ T* [ (dCNN) -200 (method) -199.98500 (with) -200.99200 (supervised) -200.01800 (learning) -200.00800 (in) -199.99400 (detecting) -201 (cancer) 20 (\055) ] TJ T* [ (ous) -243.00200 (tissue) -242.99100 (fr) 44.98640 (om) -243.01100 (whole) -242.99300 (slide) -242.99700 (ima) 10.01300 (g) 10.00320 (es\056) -307.98400 (The) -243.00400 (e) 19.99180 (xtr) 14.98770 (acted) -243.01100 (quantita\055) ] TJ 11.95590 TL T* [ (tive) -209.01800 (r) 37.01960 (epr) 36.98100 (esentation) -208.98500 (of) -209.01200 (tissue) -208.99700 (histolo) 10.00200 (gy) -208.98400 (was) -209 (used) -209.01200 (to) -209.01200 (tr) 14.99010 (ain) -209.00700 (a) -209.01900 (lo\055) ] TJ 11.95510 TL T* [ (gistic) -276.00400 (r) 37.01960 (e) 39.98900 (gr) 36.98520 (ession) -276.00800 (model) -276.01600 (with) -275.01900 (elastic) -276.00800 (net) -275.98600 (r) 37.01830 (e) 39.98840 (gularization\056) -388.01900 (The) ] TJ T* [ (model) -381.01900 (was) -379.99100 (able) -380.98300 (to) -380.98300 (accur) 14.98520 (ately) -380.00400 (discriminate) -380.98500 (cancer) 45.01450 (ous) -381.01700 (tis\055) ] TJ T* [ (sue) -324.01800 (fr) 44.98640 (om) -322.99700 (normal) -323.99400 (tissue) 9.98608 (\054) -342.01900 (r) 37.01960 (esulting) -323.00600 (in) -324.01200 (bloc) 20.00890 (kwise) -324.00700 (A) 49.99660 (UC\0750\05697\054) ] TJ T* [ (wher) 36.99440 (e) -351.00500 (the) -350.99200 (total) -351.98800 (number) -350.98100 (of) -350.98800 (analyzed) -351.01500 (tissue) -351.01300 (bloc) 20.00890 (ks) -350.99800 (was) -351.99500 (ap\055) ] TJ T* [ (pr) 44.98390 (oximately) -439.00300 (8\0563) -439.01300 (million) -440.00300 (that) -439 (constitute) -438.98300 (the) -439.01700 (test) -439.00800 (set) -439.01500 (of) -439.99300 (75) ] TJ 11.95590 TL T* [ (whole) -250.01000 (slide) -250.01600 (ima) 10.01300 (g) 10.00320 (es\056) ] TJ /R23 11.95520 Tf 38.31330 TL T* [ (1\056) -249.99000 (Intr) 18.01460 (oduction) ] TJ /R25 9.96260 Tf 11.95510 -19.74490 Td [ (In) -192.00500 (digital) -192.01200 (pathology) 65.01000 (\054) -202.98300 (analysis) -192.01800 (of) -192.00600 (histopathological) -192.01500 (images) ] TJ -11.95510 -11.95510 Td [ (is) -318.99200 (mainly) -317.99300 (time\055consuming) -319.01900 (manual) -318.00500 (labor) -318.99600 (and) -317.98100 (prone) -318.99800 (to) -318.99300 (sub\055) ] TJ 11.95510 TL T* [ (jecti) 24.98910 (vity) 64.99410 (\054) -299.00600 (and) -289.00500 (sometimes) -289.00200 (a) -289.99600 (challenging) -289.01700 (task) -288.99600 (e) 25.01050 (v) 14.98280 (en) -289.01100 (for) -289.01300 (an) -289.99100 (e) 15.01220 (x\055) ] TJ 258.75000 441.43900 Td [ (pert) -330.99900 (\13330\135\056) -552.02100 (Automated) -331.00600 (image) -330.00900 (analysis) -331.01300 (pro) 14.98280 (vides) -330.98400 (methods) -331.00800 (to) ] TJ T* [ (analyze) -390.01300 (these) -388.98400 (images) -389.99100 (in) -390.00100 (a) -390.01800 (quantitati) 25.02030 (v) 14.98280 (e\054) -424.00800 (objecti) 25 (v) 14.98280 (e\054) -424.98800 (and) -390.00800 (ef\055) ] TJ T* [ <026369656e74> -403.98700 (w) 10 (ay) -404.99100 (\1335\054) -404.00600 (22\135\056) -772.99800 (The) -404.00600 (de) 25.01540 (v) 14.98280 (elopment) -404.01600 (of) -404.01100 (accurate) -405.00600 (image) ] TJ T* [ (analysis) -224.99400 (tools) -224.01200 (can) -224.98500 (adv) 24.98110 (ance) -224.01200 (the) -225.01100 (transition) -225.01600 (to) -223.99200 (decision) -224.99700 (support) ] TJ T* [ (systems) -293.01000 (a) 1.01454 (n) -1.01454 (d) -291.98600 (computer) -292.98800 (aided) -291.98100 (diagnosis) -293.00500 (in) -292.02000 (digital) -293.01500 (pathology) ] TJ 11.95590 TL (\13315\135\056) ' 11.95510 -14.71800 Td [ (T) 79.99160 (w) 10 (o) -360.99400 (common) -359.98400 (approaches) -360.99400 (to) -360.98900 (s) 0.98513 (upervised) -361.01800 (learning) -360.97900 (based) ] TJ -11.95510 -11.95510 Td [ (image) -629.99800 (analysis) -629.98600 (include\054) -724.99200 (traditional) -630.99300 (feature) -629.97800 (engineering) ] TJ 11.95510 TL T* [ (methods) -287.99400 (combined) -287.01800 (with) -288.00800 (machine) -288.01600 (learning\054) -296.99000 (and) -287.98600 (deep) -287.99100 (learn\055) ] TJ 11.95590 TL T* [ (ing) -250.02000 (based) -249.99000 (methods\054) -249.99700 (such) -249.98500 (as) -249.99700 (deep) -249.99700 (con) 39.99820 (v) 20.00160 (olutional) -249.99300 (netw) 10.00810 (orks\056) ] TJ 11.95510 -14.71800 Td [ (T) 35.01870 (raditional) -357.00700 (feature) -357.98700 (engineering) -357.01400 (methods) -357.98400 (rely) -356.99400 (on) -358.00900 (e) 15.01220 (xper) 19.99670 (\055) ] TJ -11.95510 -11.95510 Td [ (tise) -256.99900 (and) -257.99100 (kno) 24.99090 (wledge) -257.00400 (on) -257.98600 (the) -257.00600 (important) -257.01600 (discriminati) 24.99090 (v) 14.98280 (e) -258.00100 (proper) 20.00160 (\055) ] TJ 11.95470 TL T* [ (ties) -395.01500 (and) -396.00700 (methods) -394.99500 (to) -394.98100 (manually) -396.01700 (engineer) -394.98800 (these) -394.98300 (features) -396.01200 (for) ] TJ 11.95630 TL T* [ (a) -420.99300 (certain) -422.00600 (application\056) -823.98000 (Quantitati) 25.01540 (v) 14.98280 (e) -420.99300 (feature) -422.01300 (representation) ] TJ 11.95510 TL T* [ (combined) -351.98800 (with) -351.99800 (machine) -350.98300 (learning) -352 (methods) -351.98500 (pro) 14.98280 (vide) -352.00500 (po) 24.98600 (wer) 19.99180 (\055) ] TJ T* [ (ful) -368.00700 (image) -366.98300 (analysis) -367.99000 (tools\056) -662.99500 (One) -366.99300 (adv) 24.98110 (antage) -368.01200 (of) -366.99800 (these) -368.00700 (type) -368.00200 (of) ] TJ T* [ (models) -293.99700 (is) -294.01700 (that) -294.01500 (the) 14.98520 (y) -293.98500 (are) -294.00200 (relati) 24.98600 (v) 14.98280 (ely) -293.98000 (easy) -293.99000 (to) -294.02000 (interpret) -294.01500 (by) -294.02000 (relat\055) ] TJ T* [ (ing) -282.99400 (the) -283.00400 (features) -281.99500 (of) -283.00900 (the) -283.00400 <636c61737369026572> -282.98700 (model) -282.00700 (to) -283.00200 (the) -283.00200 (biological) -283.01200 (in\055) ] TJ 11.95590 TL T* [ (formation\056) -670.99100 (These) -370.00900 (traditional) -370.01700 (methods) -369.98200 (ha) 19.99670 (v) 14.98280 (e) -369.98200 (been) -370.01700 (used) -370.98700 (for) ] TJ 11.95510 TL T* [ (years) -400.01200 (in) -400 (digital) -400.99700 (pathology) -400.01200 (and) -400.00700 (in) -400.00200 (man) 14.99260 (y) -400.98700 (dif) 24.98600 (fe) 1.00964 (rent) -400.98700 (applica\055) ] TJ T* [ (tions\054) -301.01600 (such) -290.01800 (as\054) -301.00400 (cell) -291.00500 (detection) -290.98600 (and) -289.98600 <636c6173736902636174696f6e> -291 (\1331\135\054) -301.00900 (grading) ] TJ T* [ (prostate) -334.00300 (cancer) -333.01800 (both) -334 (in) -334.01000 (human) -332.97900 (\1337\135\054) -355 (and) -332.99800 (mouse) -333.99800 (model) -333.99800 (\13321\135) ] TJ T* [ (samples\056) -795.99500 (Additionally) 64.98920 (\054) -452 (these) -412 (traditional) -412.01000 (approaches) -412.00500 (ha) 19.99670 (v) 14.98280 (e) ] TJ T* [ (been) -380.01300 (successfully) -379.98300 (used) -378.98300 (for) -380.01500 (quantitati) 25.02030 (v) 14.98280 (ely) -380.00500 (describing) -379.98600 (char) 19.99180 (\055) ] TJ 11.95590 TL T* [ (acteristics) -322.98500 (of) -323.00200 (histology) -322.99300 (\13326\054) -322.99500 (6\135\056) -529.00500 (Ho) 24.98600 (we) 25.01540 (v) 14.98280 (er) 39.98350 (\054) -342.01600 (pre) 25.01050 (vious) -323.01500 (studies) ] TJ 11.95510 TL T* [ (ha) 19.99670 (v) 14.98280 (e) -244.00300 (left) -243.99100 (room) -244.01800 (for) -244 (impro) 15.00480 (v) 14.98280 (ed) -243.99900 (feature) -244.00300 (engineering) -244.01300 (and) -243.99400 (classi\055) ] TJ T* [ <02636174696f6e> -250.00700 (performance\056) ] TJ 11.95510 -14.71800 Td [ (Neural) -384.01200 (netw) 10.00810 (ork) -384.00700 (based) -384.00500 (methods\054) -416.98900 (on) -384.00500 (the) -384.00500 (other) -384.00500 (hand\054) -417.99400 (do) ] TJ -11.95510 -11.95630 Td [ (not) -405.01300 (need) -404.98900 (an) 15.01710 (y) -404.98600 <73706563690263> -403.99100 (feature) -404.99600 (engineering\054) -444.01900 (these) -404.98100 (methods) ] TJ T* [ (learn) -345.00100 (both) -345.99900 (the) -344.99400 (feature) -345.98900 (representation) -345.01600 (as) -345.00100 (well) -346.00600 (as) -345.00100 (the) -346.01100 (classi\055) ] TJ T* [ <02636174696f6e> -230.01100 (model\056) -304 (In) -229.99800 (recent) -230.98600 (years\054) -234 (these) -231.01000 (methods) -230.00600 (ha) 19.99670 (v) 14.98280 (e) -230.98600 (become) ] TJ T* [ (the) -374.00900 (state\055of\055art) -374.98900 (methods) -374.01800 (in) -374.98600 (man) 14.99260 (y) -374.01100 (image) -374.00100 <636c6173736902636174696f6e> -374.98600 (and) ] TJ T* [ (detection) -393.00800 (tasks) -393.01300 (\13324\054) -392.00300 (31\054) -392.98100 (2\054) -392.98300 (9\135\056) -737.99000 (While) -393.01800 (the) -392.98300 (the) -392.98300 (deep) -392.99300 (learn\055) ] TJ 11.95590 TL T* [ (ing) -286.99400 (approach) -287.98600 (has) -287.00400 (been) -287.00800 (sho) 24.99090 (wn) -287.98100 (to) -287.00100 (outperform) -286.98600 (traditional) -287.99100 (ap\055) ] TJ 11.95510 TL T* [ (proaches) -281.98700 (in) -283 (a) -281.99700 (v) 24.98110 (ariety) -281.98500 (of) -281.99000 (tasks\054) -290.98600 (the) -281.98200 (model) -282.00700 (interpretation) -283.01700 (and) ] TJ T* [ (link) -250.01200 (to) -249.98500 (biological) -249.99700 (information) -249.99300 (remains) -250.01700 (lar) 17.99700 (gely) -249.98300 (unresolv) 15.00240 (ed\056) ] TJ 11.95510 -14.71800 Td [ (Con) 40.01540 (v) 20.00160 (olutional) -251.01200 (neural) -249.99300 (netw) 10.00810 (orks) -251.00200 (and) -251.01200 (deep) -249.99700 (learning) -250.99700 (can) -250.98300 (be) ] TJ ET Q Q Q q q 1 1 1 rg /a0 gs 48.40600 786.42200 515.18800 -52.69900 re f q /s5 gs /x6 Do Q q /s7 gs /x8 Do Q q /s9 gs /x10 Do Q q /s11 gs /x12 Do Q Q Q Q q 1 0 0 1 0 0 cm BT /F1 12 Tf 14.40000 TL ET 1 1 1 rg n 270 32 72 14 re f* 0.50000 0.50000 0.50000 rg BT /F2 9 Tf 10.80000 TL ET BT 1 0 0 1 301.50000 35 Tm (27) Tj T* ET Q endstream endobj 14 0 obj << /Filter /FlateDecode /Resources << /ExtGState << /a0 << /CA 1 /ca 1 >> >> /XObject << /x18 15 0 R >> >> /Length 28 /Group << /Type /Group /S /Transparency /CS /DeviceRGB /I true >> /BBox [ 78 746 96 765 ] /Type /XObject /Subtype /Form >> stream x+O4PH/VЯ0Pp 0 endstream endobj 15 0 obj << /Filter /FlateDecode /Resources 16 0 R /Length 107 /Type /XObject /BBox [ 78 746 96 765 ] /Subtype /Form >> stream xe AC̬wʠ =p,?]%+H-
Jc "82w8VSnGW;"
endstream
endobj
16 0 obj
<<
/ExtGState <<
/a0 <<
/CA 1
/ca 1
>>
>>
>>
endobj
17 0 obj
<<
/Filter /FlateDecode
/Resources <<
/ExtGState <<
/a0 <<
/CA 1
/ca 1
>>
>>
/XObject <<
/x15 18 0 R
>>
>>
/Length 28
/Group <<
/Type /Group
/S /Transparency
/CS /DeviceRGB
/I true
>>
/BBox [ 67 752 84 775 ]
/Type /XObject
/Subtype /Form
>>
stream
x+O4PH/VЯ04Up
0
endstream
endobj
18 0 obj
<<
/Filter /FlateDecode
/Resources 19 0 R
/Length 228
/Type /XObject
/BBox [ 67 752 84 775 ]
/Subtype /Form
>>
stream
xeQKn!s ?FPav6R٪TS.
b];15YyR
{7QL.\:Rv/x9l+L7h%1!}i/AI(kz"U&,YO![R hg{3}4/GyYF:!w}Gn+'xJcO9i뽼_-:`
endstream
endobj
19 0 obj
<<
/ExtGState <<
/a0 <<
/CA 1
/ca 1
>>
>>
>>
endobj
20 0 obj
<<
/Filter /FlateDecode
/Resources <<
/ExtGState <<
/a0 <<
/CA 1
/ca 1
>>
>>
/XObject <<
/x24 21 0 R
>>
>>
/Length 28
/Group <<
/Type /Group
/S /Transparency
/CS /DeviceRGB
/I true
>>
/BBox [ 113 751 499 772 ]
/Type /XObject
/Subtype /Form
>>
stream
x+O4PH/VЯ02Qp
0
endstream
endobj
21 0 obj
<<
/Filter /FlateDecode
/Resources 22 0 R
/Length 56142
/Type /XObject
/BBox [ 113 751 499 772 ]
/Subtype /Form
>>
stream
xtIH4)ޤv[D."M(T{"p>3}9~{u/09v;{y~t}j , _G} y{.~2Mߵ f]@1 0bZ_>{{cOpC9? 6_x&>>;WYoܐ;6%cՇ@t ˳}l]E~}~炘 !wr3dz`x.(9mA]xsG/xI1>9O1\|-E}Qϋ^~IIo!=#OؾCebOHs? ::N3MԾ:MJɩPu6#>$}qdoQOo϶˧a%}7I6N|_煓Bok̋MAwy-0g eƋEyat_$EkEZ$45H%0\7t:╨^61[Z
ˣɀ} 'ٹKoŝ?#ς'է#Da5#g==8ZM|Wo
D&AY/Lk*:빆W;AܬN#O!Ibvq|]f~ly
OlH5;/5Wx;;`EDCDjpH8Nq(#US_'TIh~`.exC;ggL(.t<\T%wܞr˫,Ӯ}yaO}$o]p"qT :01~/_+vrEc蠊{УK9\ z9٬(䇾SY pw?{β+mEs/:c|l{鵓?q+{_@Z`{G