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ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
April 16, 2024, 4:49 a.m. | Hallee E. Wong, Marianne Rakic, John Guttag, Adrian V. Dalca
cs.CV updates on arXiv.org arxiv.org
Abstract: Biomedical image segmentation is a crucial part of both scientific research and clinical care. With enough labelled data, deep learning models can be trained to accurately automate specific biomedical image segmentation tasks. However, manually segmenting images to create training data is highly labor intensive and requires domain expertise. We present ScribblePrompt, a flexible neural network based interactive segmentation tool for biomedical imaging that enables human annotators to segment previously unseen structures using scribbles, clicks, and …
arxiv biomedical cs.cv eess.iv image interactive segmentation type
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