A Multi-Organ Nucleus Segmentation Challenge.

N, Kumar; R, Verma; D, Anand; Y, Zhou; OF, Onder; E, Tsougenis; H, Chen; PA, Heng; J, Li; Z, Hu; Y, Wang; NA, Koohbanani; M, Jahanifar; NZ, Tajeddin; A, Gooya; N, Rajpoot; X, Ren; S, Zhou; Q, Wang; D, Shen; CK, Yang; CH, Weng; WH, Yu; CY, Yeh; S, Yang; S, Xu; PH, Yeung; P, Sun; A, Mahbod; G, Schaefer; I, Ellinger; R, Ecker; O, Smedby; C, Wang; B, Chidester; TV, Ton; MT, Tran; J, Ma; MN, Do; S, Graham; QD, Vu; JT, Kwak; A, Gunda; R, Chunduri; C, Hu; X, Zhou; D, Lotfi; R, Safdari; A, Kascenas; A, O'Neil; D, Eschweiler; J, Stegmaier; Y, Cui; B, Yin; K, Chen; X, Tian; P, Gruening; E, Barth; E, Arbel; I, Remer; A, Ben-Dor; E, Sirazitdinova; M, Kohl; S, Braunewell; Y, Li; X, Xie; L, Shen; J, Ma; KD, Baksi; MA, Khan; J, Choo; A, Colomer; V, Naranjo; L, Pei; KM, Iftekharuddin; K, Roy; D, Bhattacharjee; A, Pedraza; MG, Bueno; S, Devanathan; S, Radhakrishnan; P, Koduganty; Z, Wu; G, Cai; X, Liu; Y, Wang; A, Sethi

doi:10.1109/tmi.2019.2947628

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A Multi-Organ Nucleus Segmentation Challenge.

Shared by NobleBlocks on Oct 23, 2019 • 12:00 AM UTC

Authors:

Kumar N

Verma R

Anand D

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 digi...

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