Computer Vision for Microscopy Image Analysis
Red Blood Cell Image Generation for Data Augmentation Using Conditional Generative Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Bailo_2019_CVPR_Workshops,
author = {Bailo, Oleksandr and Ham, DongShik and Min Shin, Young},
title = {Red Blood Cell Image Generation for Data Augmentation Using Conditional Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Automated Focus Distance Estimation for Digital Microscopy Using Deep Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Dastidar_2019_CVPR_Workshops,
author = {Rai Dastidar, Tathagato},
title = {Automated Focus Distance Estimation for Digital Microscopy Using Deep Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow-
[pdf]
[bibtex]@InProceedings{Yi_2019_CVPR_Workshops,
author = {Yi, Jingru and Wu, Pengxiang and Huang, Qiaoying and Qu, Hui and Hoeppner, Daniel J. and Metaxas, Dimitris N.},
title = {Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Cell Image Segmentation by Integrating Pix2pixs for Each Class-
[pdf]
[bibtex]@InProceedings{Tsuda_2019_CVPR_Workshops,
author = {Tsuda, Hiroki and Hotta, Kazuhiro},
title = {Cell Image Segmentation by Integrating Pix2pixs for Each Class},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Automatic Classification of Whole Slide Pap Smear Images Using CNN With PCA Based Feature Interpretation-
[pdf]
[bibtex]@InProceedings{GV_2019_CVPR_Workshops,
author = {Kiran GV, Kranthi and Meghana Reddy, G},
title = {Automatic Classification of Whole Slide Pap Smear Images Using CNN With PCA Based Feature Interpretation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images-
[pdf]
[bibtex]@InProceedings{Gupta_2019_CVPR_Workshops,
author = {Gupta, Krati and Thapar, Daksh and Bhavsar, Arnav and Sao, Anil K.},
title = {Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery With Deep Feature Maps-
[pdf]
[bibtex]@InProceedings{Jiao_2019_CVPR_Workshops,
author = {Jiao, Yang and Weng, Mo and Yang, Mei},
title = {Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery With Deep Feature Maps},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation-
[pdf]
[bibtex]@InProceedings{Chidester_2019_CVPR_Workshops,
author = {Chidester, Benjamin and Ton, That-Vinh and Tran, Minh-Triet and Ma, Jian and Do, Minh N.},
title = {Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR_Workshops,
author = {Wang, Heng and Zhang, Donghao and Song, Yang and Liu, Siqi and Huang, Heng and Chen, Mei and Peng, Hanchuan and Cai, Weidong},
title = {Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Cell Image Segmentation Using Generative Adversarial Networks, Transfer Learning, and Augmentations-
[pdf]
[bibtex]@InProceedings{Majurski_2019_CVPR_Workshops,
author = {Majurski, Michael and Manescu, Petru and Padi, Sarala and Schaub, Nicholas and Hotaling, Nathan and Simon Jr, Carl and Bajcsy, Peter},
title = {Cell Image Segmentation Using Generative Adversarial Networks, Transfer Learning, and Augmentations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Partially-Independent Framework for Breast Cancer Histopathological Image Classification-
[pdf]
[bibtex]@InProceedings{Gupta_2019_CVPR_Workshops,
author = {Gupta, Vibha and Bhavsar, Arnav},
title = {Partially-Independent Framework for Breast Cancer Histopathological Image Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
Identification of Tuberculosis Bacilli in ZN-Stained Sputum Smear Images: A Deep Learning Approach-
[pdf]
[bibtex]@InProceedings{El-Melegy_2019_CVPR_Workshops,
author = {El-Melegy, Moumen and Mohamed, Doaa and ElMelegy, Tarek and Abdelrahman, Mostafa},
title = {Identification of Tuberculosis Bacilli in ZN-Stained Sputum Smear Images: A Deep Learning Approach},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}