Feb. 8, 2024, 5:47 a.m. | Jiajun Zeng Ruobing Huang Dong Ni

cs.CV updates on arXiv.org arxiv.org

Breast lesion segmentation from breast ultrasound (BUS) videos could assist in early diagnosis and treatment. Existing video object segmentation (VOS) methods usually require dense annotation, which is often inaccessible for medical datasets. Furthermore, they suffer from accumulative errors and a lack of explicit space-time awareness. In this work, we propose a novel two-shot training paradigm for BUS video segmentation. It not only is able to capture free-range space-time consistency but also utilizes a source-dependent augmentation scheme. This label-efficient learning framework …

annotation cs.cv datasets diagnosis eess.iv errors medical segmentation space treatment video videos

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