MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures

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
Main Authors: Mohammed El Adoui, Sidi Ahmed Mahmoudi, Mohamed Amine Larhmam, Mohammed Benjelloun
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Computers
Subjects:
breast tumor segmentation
MRI
encoder–decoder
deep learning
HPC
<i>SegNet</i>
<i>U-Net</i>
Online Access:https://www.mdpi.com/2073-431X/8/3/52

Internet

https://www.mdpi.com/2073-431X/8/3/52

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