CoNIC 挑战赛：推进细胞核检测、分割、分类与计数的前沿
计算机视觉与模式识别
2023-03-15 v2 机器学习
摘要
细胞核检测、分割与形态计量分析对于进一步理解组织学与患者预后间的关系至关重要。为驱动该领域的创新，我们利用同类中最大的可用数据集设立了一项社区级挑战赛，以评估细胞核分割与细胞组成。我们的挑战赛名为 CoNIC，促进了可复现的细胞识别算法开发，并在公共排行榜上提供实时结果检视。我们基于使用 1,658 张结肠组织全切片图像（WSI）的顶尖模型进行了广泛的赛后分析。每模型约检测 7 亿个细胞核，相关特征被用于异型增生分级与生存分析，其中我们证明挑战赛相对先前最先进（SOTA）方法的改进显著提升了下游性能。我们的发现还提示嗜酸性粒细胞与中性粒细胞在肿瘤微环境中发挥重要作用。我们发布挑战赛模型与 WSI 级别结果，以推动用于生物标志物发现的进一步方法开发。
引用
@article{arxiv.2303.06274,
title = {CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting},
author = {Simon Graham and Quoc Dang Vu and Mostafa Jahanifar and Martin Weigert and Uwe Schmidt and Wenhua Zhang and Jun Zhang and Sen Yang and Jinxi Xiang and Xiyue Wang and Josef Lorenz Rumberger and Elias Baumann and Peter Hirsch and Lihao Liu and Chenyang Hong and Angelica I. Aviles-Rivero and Ayushi Jain and Heeyoung Ahn and Yiyu Hong and Hussam Azzuni and Min Xu and Mohammad Yaqub and Marie-Claire Blache and Benoît Piégu and Bertrand Vernay and Tim Scherr and Moritz Böhland and Katharina Löffler and Jiachen Li and Weiqin Ying and Chixin Wang and Dagmar Kainmueller and Carola-Bibiane Schönlieb and Shuolin Liu and Dhairya Talsania and Yughender Meda and Prakash Mishra and Muhammad Ridzuan and Oliver Neumann and Marcel P. Schilling and Markus Reischl and Ralf Mikut and Banban Huang and Hsiang-Chin Chien and Ching-Ping Wang and Chia-Yen Lee and Hong-Kun Lin and Zaiyi Liu and Xipeng Pan and Chu Han and Jijun Cheng and Muhammad Dawood and Srijay Deshpande and Raja Muhammad Saad Bashir and Adam Shephard and Pedro Costa and João D. Nunes and Aurélio Campilho and Jaime S. Cardoso and Hrishikesh P S and Densen Puthussery and Devika R G and Jiji C and Ye Zhang and Zijie Fang and Zhifan Lin and Yongbing Zhang and Chunhui Lin and Liukun Zhang and Lijian Mao and Min Wu and Vi Thi-Tuong Vo and Soo-Hyung Kim and Taebum Lee and Satoshi Kondo and Satoshi Kasai and Pranay Dumbhare and Vedant Phuse and Yash Dubey and Ankush Jamthikar and Trinh Thi Le Vuong and Jin Tae Kwak and Dorsa Ziaei and Hyun Jung and Tianyi Miao and David Snead and Shan E Ahmed Raza and Fayyaz Minhas and Nasir M. Rajpoot},
journal= {arXiv preprint arXiv:2303.06274},
year = {2023}
}