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BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
May 22, 2024, 4:45 a.m. | Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Brian Piening, Carlo Bifulco, Mu Wei, H
cs.CV updates on arXiv.org arxiv.org
Abstract: Biomedical image analysis is fundamental for biomedical discovery in cell biology, pathology, radiology, and many other biomedical domains. Holistic image analysis comprises interdependent subtasks such as segmentation, detection, and recognition of relevant objects. Here, we propose BiomedParse, a biomedical foundation model for imaging parsing that can jointly conduct segmentation, detection, and recognition for 82 object types across 9 imaging modalities. Through joint learning, we can improve accuracy for individual tasks and enable novel applications such …
abstract analysis arxiv biology biomedical cs.cv detection discovery domains everything foundation foundation model fundamental image objects parsing pathology radiology recognition segmentation type
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