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Updated: Jan 28, 2026

A Dual Tracer PET-MRI Protocol for the Quantitative Measure of Regional Brain Energy Substrates Uptake in the Rat
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为双视图低能CESM分类进行校准变压器融合

Ahmed A H Alkurdi1,2, Amira Bibo Sallow1

  • 1Department of Information Technology, Technical College of Duhok, Duhok Polytechnic University, Duhok 42001, Iraq.

Journal of imaging
|January 27, 2026
PubMed
概括

一个新的双视图分类框架使用对比增强光谱乳房学 (CESM) 图像准确地区分正常和瘤乳房. 这种深度学习方法结合了CNN和变压器,以改善乳腺癌检测和决策支持.

关键词:
乳房异常检测检测 乳房异常检测与对比度增强的光谱乳房学 (CESM)深度学习是一种深度学习.双视图融合双视图可以使用.医疗图像分析分析变压器的变压器是一个变压器.不确定性估计估计的不确定性

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