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Updated: Jul 18, 2025

Hybrid µCT-FMT imaging and image analysis
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BiFTransNet:CT和MRI胃肠道图像的统一和同时细分网络

Xin Jiang1, Yizhou Ding2, Mingzhe Liu3

  • 1School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401135, China; Department of Radiology, Chongqing University Cancer Hospital, Chongqing, 400030, China.

Computers in biology and medicine
|August 24, 2023
PubMed
概括

一个新的BiFTransNet模型通过有效地融合全球和本地图像特征,改善了用于放射治疗的胃肠道癌症细分. 这种先进的深度学习方法提高了医疗图像在不同模式的细分的准确性.

关键词:
深度学习是一种深度学习.功能融合的特点是:医学图像 医学图像医疗图像细分 医疗图像细分多层次的损失损失.

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