MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge

Detecting various types of cells in and around the tumor matrix holds a special significance in characterizing the tumor micro-environment for cancer prognostication and research. Automating the tasks of detecting, segmenting, and classifying nuclei can free up the pathologists' time for higher...

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Veröffentlicht in:	IEEE transactions on medical imaging 2021-12, Vol.40 (12), p.3413-3423
Hauptverfasser:	Verma, Ruchika, Kumar, Neeraj, Patil, Abhijeet, Kurian, Nikhil Cherian, Rane, Swapnil, Graham, Simon, Vu, Quoc Dang, Zwager, Mieke, Raza, Shan E. Ahmed, 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
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Annotations Cell Nucleus Classification computational pathology Computer architecture Computer vision Datasets Humans Image Processing, Computer-Assisted Image segmentation instance segmentation Medical imaging Multi-organ dataset Nuclei nucleus classification panoptic quality Semantics Task analysis Training Tumors
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