Abstract: The acquisition of expert-annotated data remains a critical bottleneck for medical image segmentation, thereby constraining the clinical applicability of highly accurate models. Crucially, ...
Nicolás Maduro, the ousted president of Venezuela, arrived in Brooklyn and will be held on drugs and weapons charges. The country’s interim leader demanded his return. Brooklyn Law enforcement ...
Thank you for open-sourcing SAM 3! It is a fantastic leap forward in promptable segmentation. I am particularly interested in the Promptable Concept Segmentation (PCS) task for videos, as described in ...
Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...
Abstract: Enhancing domain generalization (DG) is a crucial and compelling research pursuit within the field of medical image segmentation, owing to the inherent heterogeneity observed in medical ...
Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...
Thank you so much for open-sourcing this amazing work! It works pretty well and the documentation is also nice. However, I note some small issues while using the pre-trained v1 model. It seems that ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
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