MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
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Published:2021-12
Issue:12
Volume:40
Page:3413-3423
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ISSN:0278-0062
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Container-title:IEEE Transactions on Medical Imaging
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language:
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Short-container-title:IEEE Trans. Med. Imaging
Author:
Verma RuchikaORCID, Kumar NeerajORCID, Patil Abhijeet, Kurian Nikhil Cherian, Rane Swapnil, Graham SimonORCID, Vu Quoc Dang, Zwager MiekeORCID, Raza Shan E. AhmedORCID, Rajpoot Nasir, Wu Xiyi, Chen Huai, Huang Yijie, Wang Lisheng, Jung Hyun, Brown G. Thomas, Liu Yanling, Liu Shuolin, Jahromi Seyed Alireza Fatemi, Khani Ali Asghar, Montahaei Ehsan, Baghshah Mahdieh Soleymani, Behroozi Hamid, Semkin Pavel, Rassadin Alexandr, Dutande Prasad, Lodaya Romil, Baid Ujjwal, Baheti Bhakti, Talbar Sanjay, Mahbod Amirreza, Ecker Rupert, Ellinger Isabella, Luo Zhipeng, Dong Bin, Xu Zhengyu, Yao Yuehan, Lv Shuai, Feng Ming, Xu Kele, Zunair Hasib, Hamza Abdessamad Ben, Smiley Steven, Yin Tang-Kai, Fang Qi-Rui, Srivastava Shikhar, Mahapatra Dwarikanath, Trnavska Lubomira, Zhang Hanyun, Narayanan Priya Lakshmi, Law Justin, Yuan Yinyin, Tejomay Abhiroop, Mitkari Aditya, Koka Dinesh, Ramachandra Vikas, Kini Lata, Sethi Amit
Funder
Data to Early Diagnosis and Precision Medicine Strand of the Government’s Industrial Strategy Challenge Fund, managed and delivered U.K. Research and Innovation (UKRI) and the authors are a part of the PathLAKE Digital Pathology Consortium Austrian Research Promotion Agency
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Cited by
88 articles.
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