Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
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Abstract: Infrared remote sensing imagery has emerged as a critical data source in environmental perception and intelligent monitoring, with significant potential in scenarios requiring robust ...
To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...
Finally got around to adding --model-kwargs and --opt-kwargs to scripts to pass through rare args directly to model classes from cmd line train.py /imagenet --model resnet50 --amp --model-kwargs ...
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 information ...
Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors - Dmitro72/Magic12345 ...