A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation

Neural Networks, vol. 193, pp. 107993

Authors 7

1. 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

2. Jihua Song

   Jilin University

   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

3. Lele Cong corresponding

   Jilin University

   Affiliation as printed

   Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, 130033, China. Electronic address: congll18@mails.jlu.edu.cn

4. Xianling Cong

   Jilin University

   Affiliation as printed

   Tissue Bank, China-Japan Union Hospital of Jilin University, Changchun, 130033, China. Electronic address: congxl@jlu.edu.cn

5. Jouke Dijkstra Aachen Department of Radiology, Leiden University Medical Center

   Leiden University Medical Center

   Affiliation as printed

   Department of Radiology, Leiden University Medical Center, Leiden, 2333ZA, The Netherlands. Electronic address: j.dijkstra@lumc.nl

6. Philip S. Yu

   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

7. Hechang Chen corresponding

   Jilin University

   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