Compound Figure Separation of Biomedical Images with Side Loss

Unsupervised learning algorithms (e.g., self-supervised learning, auto-encoder, contrastive learning) allow deep learning models to learn effective image representations from large-scale unlabeled data. In medical image analysis, even unannotated data can be difficult to obtain for individual labs....

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Bibliographische Detailangaben

Hauptverfasser:	Yao, Tianyuan, Qu, Chang, Liu, Quan, Deng, Ruining, Tian, Yuanhan, Xu, Jiachen, Jha, Aadarsh, Bao, Shunxing, Zhao, Mengyang, Fogo, Agnes B, Landman, Bennett A, Chang, Catie, Yang, Haichun, Huo, Yuankai
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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