With generative AI chats being increasingly relied upon in almost every field, from every-day life to academia and ...
Abstract: Complex anatomical structures, blurred boundaries, and significant scale variations make automatic segmentation of chest X-ray images a highly challenging task. This paper proposes a novel ...
Abstract: In this study, we evaluate multiple benchmark model architectures, including Vision Transformers (ViT), for multi-label classification of chest X-ray (CXR) images using the NIH CXR 14 ...
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