A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation
Neural Networks, vol. 193, pp. 107993
Authors 7
-
Bo Yu Aachen
Jilin University · Leiden University Medical Center
Affiliation as printed
School of Artificial Intelligence, Jilin University, Changchun, 130015, China; Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, Ministry of Education, China; Department of Radiology, Leiden University Medical Center, Leiden, 2333ZA, The Netherlands. Electronic address: byu20@mails.jlu.edu.cn
-
Affiliation as printed
School of Artificial Intelligence, Jilin University, Changchun, 130015, China; Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, Ministry of Education, China. Electronic address: songjw22@mails.jlu.edu.cn
-
Lele Cong corresponding
Affiliation as printed
Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, 130033, China. Electronic address: congll18@mails.jlu.edu.cn
-
Affiliation as printed
Tissue Bank, China-Japan Union Hospital of Jilin University, Changchun, 130033, China. Electronic address: congxl@jlu.edu.cn
-
Leiden University Medical Center
Affiliation as printed
Department of Radiology, Leiden University Medical Center, Leiden, 2333ZA, The Netherlands. Electronic address: j.dijkstra@lumc.nl
-
University of Illinois Chicago
Affiliation as printed
Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60607, USA. Electronic address: psyu@cs.uic.edu
-
Hechang Chen corresponding
Affiliation as printed
School of Artificial Intelligence, Jilin University, Changchun, 130015, China; Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, Ministry of Education, China. Electronic address: chenhc@jlu.edu.cn
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-11).