Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning

With the rapid development of self-supervised learning (e.g., contrastive learning), the importance of having large-scale images (even without annotations) for training a more generalizable AI model has been widely recognized in medical image analysis. However, collecting large-scale task-specific u...

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Detalles Bibliográficos
Autores principales: Yao, Tianyuan, Qu, Chang, Long, Jun, Liu, Quan, Deng, Ruining, Tian, Yuanhan, Xu, Jiachen, Jha, Aadarsh, Asad, Zuhayr, Bao, Shunxing, Zhao, Mengyang, Fogo, Agnes B., Landman, Bennett A., Yang, Haichun, Chang, Catie, Huo, Yuankai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112832/
https://www.ncbi.nlm.nih.gov/pubmed/37077404

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112832/
https://www.ncbi.nlm.nih.gov/pubmed/37077404

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