A medical image segmentation method for rectal tumors based on multi‐scale feature retention and multiple attention mechanisms
Jumin Zhao,
Linjun Liu,
Xiaotang Yang
et al.
Abstract:BackgroundWith the continuous development of deep learning algorithms in the field of medical images, models for medical image processing based on convolutional neural networks have made great progress. Since medical images of rectal tumors are characterized by specific morphological features and complex edges that differ from natural images, achieving good segmentation results often requires a higher level of enrichment through the utilization of semantic features.PurposeThe efficiency of feature extraction a… Show more
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