MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures

Breast tumor segmentation in medical images is a decisive step for diagnosis and treatment follow-up. Automating this challenging task helps radiologists to reduce the high manual workload of breast cancer analysis. In this paper, we propose two deep learning approaches to automate the breast tumor...

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Bibliographic Details
Published in:	Computers (Basel) Vol. 8; no. 3; p. 52
Main Authors:	El Adoui, Mohammed, Mahmoudi, Sidi Ahmed, Larhmam, Mohamed Amine, Benjelloun, Mohammed
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2019
Subjects:	Artificial neural networks Breast cancer breast tumor segmentation Chemotherapy Classification Coders Datasets Deep learning encoder–decoder HPC Image segmentation Localization Magnetic resonance imaging Mammography Medical imaging MRI Neural networks SegNet Software Tumors U-Net
ISSN:	2073-431X, 2073-431X
Online Access:	Get full text
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