An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides

Expert Systems with Applications, vol. 237, pp. 121379

Authors 6

1. Hongren Zhou

   Ministry of Education of the People's Republic of China · Jilin University

   Affiliation as printed

   Engineering Research Center of Knowledge-Driven Human–Machine Intelligence, Ministry of Education, China

   School of Artificial Intelligence, Jilin University, Changchun, 130015, China

2. Hechang Chen corresponding

   Ministry of Education of the People's Republic of China · Jilin University

   Affiliation as printed

   Engineering Research Center of Knowledge-Driven Human–Machine Intelligence, Ministry of Education, China

   School of Artificial Intelligence, Jilin University, Changchun, 130015, China

3. Bo Yu corresponding Aachen Department of Radiology, Leiden University Medical Center

   Ministry of Education of the People's Republic of China · Jilin University · Leiden University Medical Center

   Affiliation as printed

   Department of Radiology, Leiden University Medical Center, Leiden, 2333ZA, Netherlands

   Engineering Research Center of Knowledge-Driven Human–Machine Intelligence, Ministry of Education, China

   School of Artificial Intelligence, Jilin University, Changchun, 130015, China

4. Shuchao Pang

   UNSW Sydney · Nanjing University of Science and Technology · Macquarie University

   Affiliation as printed

   School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia

   School of Computing, Macquarie University, Sydney, NSW 2109, Australia

   School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210014, China

5. Xianling Cong

   Jilin University

   Affiliation as printed

   Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, 130033, China

   Tissue Bank, China-Japan Union Hospital of Jilin University, Changchun, 130033, China

6. Lele Cong

   Jilin University

   Affiliation as printed

   Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, 130033, China