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