Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI.

Hongyu Wang,Jiaqi Cao,Jun Feng,Yilin Xie,Di Yang,Bao-ying Chen

Biomed. Signal Process. Control.（2021）

引用 17|浏览7

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摘要

•M2D3D-MC focuses on lesion segmentation with a limited number of DCE-MRI slices.•2D and 3D operations are deeply integrated in an end-to-end manner.•Multi-scale block is inserted into U-Net to obtain multi-scale information.•The spatial–temporal features of DCE-MRI is learned with the multi-channel image.•The segmentation performance of M2D3D-MC is better than other methods

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关键词

Convolutional neural network,Lesion segmentation,Breast DCE-MRI,Medical image analysis

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