Multi-modal tumor segmentation methods based on deep learning: a narrative review
Hengzhi Xue,
Yudong Yao,
Yueyang Teng
Abstract:Background and Objective
Automatic tumor segmentation is a critical component in clinical diagnosis and treatment. Although single-modal imaging provides useful information, multi-modal imaging provides a more comprehensive understanding of the tumor. Multi-modal tumor segmentation has been an essential topic in medical image processing. With the remarkable performance of deep learning (DL) methods in medical image analysis, multi-modal tumor segmentation based on DL has attracted significant atte… Show more
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