A Multi-Organ Nucleus Segmentation Challenge

Kumar, Neeraj; Verma, Ruchika; Anand, Deepak; Zhou, Yanning; Onder, Omer Fahri; Tsougenis, Efstratios; Chen, Hao; Heng, Pheng‐Ann; Li, Jiahui; Hu, Zhiqiang; Wang, Yunzhi; Koohbanani, Navid Alemi; Jahanifar, Mostafa; Tajeddin, Neda Zamani; Gooya, Ali; Rajpoot, Nasir; Ren, Xuhua; Zhou, Sihang; Wang, Qian; Shen, Dinggang; Yang, Cheng-Kun; Weng, Chi-Hung; Yu, Wei-Hsiang; Yeh, Chao‐Yuan; Yang, Shuang; Xu, Shuoyu; Yeung, Pak Hei; Sun, Peng; Mahbod, Amirreza; Schaefer, Gerald; Ellinger, Isabella; Ecker, Rupert; Smedby, Örjan; Wang, Chunliang; Chidester, Benjamin; Ton, That-Vinh; Tran, Minh–Triet; Ma, Jian; Minh, N.; Graham, Simon; Vu, Quoc Dang; Kwak, Jin Tae; Gunda, Akshaykumar; Chunduri, Raviteja; Hu, Corey; Zhou, Xiaoyang; Lotfi, Dariush; Safdari, Reza; Kascenas, Antanas; O’Neil, Alison; Eschweiler, Dennis; Stegmaier, Johannes; Cui, Yanping; Yin, Baocai; Chen, Kailin; Tian, Xinmei; Gruening, Philipp; Barth, Erhardt; Arbel, Elad; Remer, Itay; Ben‐Dor, Amir; Sirazitdinova, Ekaterina; Kohl, Matthias; Braunewell, Stefan; Li, Yuexiang; Xie, Xinpeng; Shen, Linlin; Ma, Jun; Baksi, Krishanu Das; Khan, Mohammad Azam; Choo, Jaegul; Colomer, Adrián; Naranjo, Valery; Pei, Linmin; Iftekharuddin, Khan M.; Roy, Kaushiki; Bhattacharjee, Debotosh; Pedraza, Aníbal; Bueno, Maria Gloria; Devanathan, Sabarinathan; Radhakrishnan, Saravanan; Koduganty, Praveen; Wu, Zihan; Cai, Guanyu; Liu, Xiaojie; Wang, Yuqin; Sethi, Amit

doi:10.1109/tmi.2019.2947628

articleIEEE Transactions on Medical ImagingOct 23, 2019GREEN OA

A Multi-Organ Nucleus Segmentation Challenge

NKNeeraj KumarRVRuchika Verma DADeepak Anand YZYanning Zhou OFOmer Fahri Onder

University of Illinois Chicago · Case Western Reserve University · +39 more institutions

PubMed

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Abstract

Generalized nucleus segmentation techniques can contribute greatly to reducing the time to develop and validate visual biomarkers for new digital pathology datasets. We summarize the results of MoNuSeg 2018 Challenge whose objective was to develop generalizable nuclei segmentation techniques in digital pathology. The challenge was an official satellite event of the MICCAI 2018 conference in which 32 teams with more than 80 participants from geographically diverse institutes participated. Contestants were given a training set with 30 images from seven organs with annotations of 21,623 individual nuclei. A test dataset with 14 images taken from seven organs, including two organs that did not appear in the…

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Authors

87

NK
Neeraj KumarCorresponding
University of Illinois Chicago
RV
Ruchika Verma
Case Western Reserve University
DA
Deepak Anand
Indian Institute of Technology Bombay
YZ
Yanning Zhou
Chinese University of Hong Kong
OF
Omer Fahri Onder

Topics & keywords

Topics

Keywords

Image segmentation
Artificial intelligence
Segmentation
Computer vision
Nucleus
Computer science
Medical imaging
Neuroscience

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