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Nucleus instance segmentation in histology images is crucial for a broad spectrum of clinical applications.
Essential cell biology
Bruce Alberts, Dennis Bray, Karen Hopkin, Alexander D Johnson, Julian Lewis, Martin Raff, Keith Roberts, and Peter Walter · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Dcan: deep contour-aware networks for accurate gland segmentation
Hao Chen, Xiaojuan Qi, Lequan Yu, and Pheng-Ann Heng · 2016
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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A dataset and a technique for generalized nuclear segmentation for computational pathology
Neeraj Kumar, Ruchika Verma, Sanuj Sharma, Surabhi Bhargava, Abhishek Vahadane, and Amit Sethi · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Segmentation of nuclei in histopathology images by deep regression of the distance map
Peter Naylor, Marick Laé, Fabien Reyal, and Thomas Walter · 2018
Earlier work this paper cites.
Cell detection with star-convex polygons
Uwe Schmidt, Martin Weigert, Coleman Broaddus, and Gene Myers · 2018
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Pannuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification
Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benet, Ali Khuram, and Nasir Rajpoot · 2019
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Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Ayesha Azam, Yee Wah Tsang, Jin Tae Kwak, and Nasir Rajpoot · 2019
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Improving nuclei/gland instance segmentation in histopathology images by full resolution neural network and spatial constrained loss
Hui Qu, Zhennan Yan, Gregory M Riedlinger, Subhajyoti De, and Dimitris N Metaxas · 2019
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Micro-net: A unified model for segmentation of various objects in microscopy images
Shan E Ahmed Raza, Linda Cheung, Muhammad Shaban, Simon Graham, David Epstein, Stella Pelengaris, Michael Khan, and Nasir M Rajpoot · 2019
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Methods for segmentation and classification of digital microscopy tissue images
Quoc Dang Vu, Simon Graham, Tahsin Kurc, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Jayashree Kalpathy-Cramer, Tianhao Zhao, et al · 2019
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Cia-net: Robust nuclei instance segmentation with contour-aware information aggregation
Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, and Pheng-Ann Heng · 2019
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Pannuke dataset extension, insights and baselines
Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benes, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, and Nasir Rajpoot · 2020
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Triple u-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation
Bingchao Zhao, Xin Chen, Zhi Li, Zhiwen Yu, Su Yao, Lixu Yan, Yuqian Wang, Zaiyi Liu, Changhong Liang, and Chu Han · 2020
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Cdnet: Centripetal direction network for nuclear instance segmentation
Cellvit: Vision transformers for precise cell segmentation and classification
Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, et al · 2023
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Segment anything model for medical images?
Yuhao Huang, Xin Yang, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi Chen, Junxuan Yu, Jiongquan Chen, Chaoyu Chen, et al · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Medlsam: Localize and segment anything model for 3d medical images
Wenhui Lei, Xu Wei, Xiaofan Zhang, Kang Li, and Shaoting Zhang · 2023
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Semantic-sam: Segment and recognize anything at any granularity
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Hongliang He, Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Qian Ren, Pengxu Wei, Zhiqiang Gao, and Jie Chen · 2021
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Rethinking counting and localization in crowds: A purely point-based framework
Qingyu Song, Changan Wang, Zhengkai Jiang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, and Yang Wu · 2021
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Roformer: Enhanced transformer with rotary position embedding
Jianlin Su, Yu Lu, Shengfeng Pan, Ahmed Murtadha, Bo Wen, and Yunfeng Liu · 2021
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Feednet: A feature enhanced encoder-decoder lstm network for nuclei instance segmentation for histopathological diagnosis
Gayatri Deshmukh, Onkar Susladkar, Dhruv Makwana, Sparsh Mittal, et al · 2022
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Tsfd-net: Tissue specific feature distillation network for nuclei segmentation and classification
Talha Ilyas, Zubaer Ibna Mannan, Abbas Khan, Sami Azam, Hyongsuk Kim, and Friso De Boer · 2022
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Enhancing nucleus segmentation with haru-net: A hybrid attention based residual u-blocks network
Junzhou Chen, Qian Huang, Yulin Chen, Linyi Qian, and Chengyuan Yu · 2023
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Cpp-net: Context-aware polygon proposal network for nucleus segmentation
Shengcong Chen, Changxing Ding, Minfeng Liu, Jun Cheng, and Dacheng Tao · 2023
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Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, et al · 2023
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Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, and Jianfeng Gao · 2023
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Xian Lin, Yangyang Xiang, Li Zhang, Xin Yang, Zengqiang Yan, and Li Yu · 2023
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Structure embedded nucleus classification for histopathology images
Wei Lou, Xiang Wan, Guanbin Li, Xiaoying Lou, Chenghang Li, Feng Gao, and Haofeng Li · 2023
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Segment anything in medical images
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Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, et al · 2023
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Medical sam adapter: Adapting segment anything model for medical image segmentation
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Sppnet: A single-point prompt network for nuclei image segmentation
Qing Xu, Wenwei Kuang, Zeyu Zhang, Xueyao Bao, Haoran Chen, and Wenting Duan · 2023
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Pointnu-net: Keypoint-assisted convolutional neural network for simultaneous multi-tissue histology nuclei segmentation and classification
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Customized segment anything model for medical image segmentation
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Faster segment anything: Towards lightweight sam for mobile applications
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