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Best performing nuclear segmentation methods are based on deep learning algorithms that require a large amount of annotated data.
Nuclei segmentation using marker-controlled watershed, tracking using mean-shift, and kalman filter in time-lapse microscopy
Xiaodong Yang, Houqiang Li, and Xiaobo Zhou · 2006
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Earlier work this paper cites.
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
Earlier work this paper cites.
Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2017
Cited alongside, same era.
Nuclear shape and orientation features from h&e images predict survival in early-stage estrogen receptor-positive breast cancers
Cheng Lu, David Romo-Bucheli, Xiangxue Wang, Andrew Janowczyk, Shridar Ganesan, Hannah Gilmore, David Rimm, and Anant Madabhushi · 2018
Cited alongside, same era.
Deep extreme cut: From extreme points to object segmentation
Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, and Luc Van Gool · 2018
Cited alongside, same era.
Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Ali Gooya, and Nasir Rajpoot · 2018
Cited alongside, same era.
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
Cited in the paper.
Nuclei detection using mixture density networks
Navid Alemi Koohababni, Mostafa Jahanifar, Ali Gooya, and Nasir Rajpoot · 2018
Later among the works it cites.
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
Closest in time.
Nuclear instance segmentation using a proposal-free spatially aware deep learning framework
Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, and Nasir Rajpoot · 2019
Closest in time.
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
Closest in time.
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