Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels

Author:

Han ChuORCID,Lin Jiatai,Mai Jinhai,Wang Yi,Zhang Qingling,Zhao Bingchao,Chen Xin,Pan Xipeng,Shi ZhenweiORCID,Xu Zeyan,Yao Su,Yan Lixu,Lin Huan,Huang Xiaomei,Liang Changhong,Han Guoqiang,Liu Zaiyi

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference86 articles.

1. Geospatial immune variability illuminates differential evolution of lung adenocarcinoma;AbdulJabbar;Nat. Med.,2020

2. Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation;Ahn,2018

3. Structured crowdsourcing enables convolutional segmentation of histology images;Amgad;Bioinformatics,2019

4. Cell segmentation with median filter and mathematical morphology operation;Anoraganingrum,1999

5. Battaglia, P. W., Hamrick, J. B., Bapst, V., Sanchez-Gonzalez, A., Zambaldi, V., Malinowski, M., Tacchetti, A., Raposo, D., Santoro, A., Faulkner, R., et al., 2018. Relational inductive biases, deep learning, and graph networks. arXiv preprint arXiv:1806.01261.

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