FGM-SPCL: Open-Set Recognition Network for Medical Images Based on Fine-Grained Data Mixture and Spatial Position Constraint Loss
Author:
Affiliation:
1. School of Computer Science, Beijing University of Posts and Telecommunications,Beijing,China,100876
2. Hebei Eye Hospital,Xingtai,China,054001
Funder
National Natural Science Foundation of China
Beijing Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/9970761/10606198/10606206.pdf?arnumber=10606206
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1. Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts
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4. Spatial location constraint prototype loss for open set recognition
5. OpenGAN: Open-Set Recognition via Open Data Generation
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