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

•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...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 68; p. 102607
Main Authors:	Wang, Hongyu, Cao, Jiaqi, Feng, Jun, Xie, Yilin, Yang, Di, Chen, Baoying
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2021
Subjects:	Breast DCE-MRI Convolutional neural network Lesion segmentation Medical image analysis Breast DCE-MRI Lesion segmentation Convolutional neural network Medical image analysis
ISSN:	1746-8094, 1746-8108
Online Access:	Get full text
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