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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Vydané v:	Computers (Basel) Ročník 8; číslo 3; s. 52
Hlavní autori:	El Adoui, Mohammed, Mahmoudi, Sidi Ahmed, Larhmam, Mohamed Amine, Benjelloun, Mohammed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2019
Predmet:	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
On-line prístup:	Získať plný text
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