窒息
发表于 2025-3-27 00:21:21
https://doi.org/10.1007/978-3-322-99011-2er pathological abnormalities. Precise identification and categorization of kidney abnormalities using medical imaging methods is essential for precise diagnosis and efficient treatment planning in nephrology. This paper introduces an innovative deep-learning method for precisely categorising CT kid
cogitate
发表于 2025-3-27 02:54:46
Verlag Chemie, Weinheim/Bergstr.ccessible breast cancer datasets like CBIS-DDSM. The primary objective is to produce a more varied set of images to enrich the training data for breast cancer detection systems by training a neural network to learn the inherent characteristics of mammogram images and generate new images which did no
亲爱
发表于 2025-3-27 08:45:21
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MERIT
发表于 2025-3-27 12:16:01
,Härtebestimmungen an Sondermaterialien, novel approach to breast cancer segmentation by proposing an attention-enhanced U-Net architecture. The primary objective is to elevate the precision and efficiency of the segmentation process. Within our proposed architecture, attention blocks are seamlessly integrated into the U-Net framework, em
闯入
发表于 2025-3-27 17:03:35
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Flat-Feet
发表于 2025-3-27 19:07:49
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眼界
发表于 2025-3-27 21:56:18
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neutralize
发表于 2025-3-28 05:04:58
978-981-97-3968-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
马赛克
发表于 2025-3-28 08:47:29
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作呕
发表于 2025-3-28 13:54:59
M. F. Mridha,Nilanjan DeyExplores cutting-edge medical imaging advancements and their applications in clinical decision-making.Addresses the development of multimodal machine learning models.Brings together a global network o