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 ...
It is a mix of MIT and the official DINOv3 License. All the codebase in this repository are completely open and can be used for research, education, and commercial purposes freely. The models trained ...
Abstract: Semantic segmentation of remote sensing images plays a crucial role in geospatial applications, including land cover classification, disaster assessment, and environmental monitoring. While ...
Semantic segmentation is critical in medical image processing, with traditional specialist models facing adaptation challenges to new tasks or distribution shifts. While both generalist pre-trained ...
Abstract: Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Convolutional Neural Networks ...
ABSTRACT: Public trust in disaster preparedness is a fragile but essential element of effective risk management, especially when government budget allocations appear misaligned with actual mitigation ...
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