Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy-Reference-Cited by-同舟云学术

Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy

Published:2020-07 Issue: Volume:63 Page:101692
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Ben naceur Mostefa^ORCID,Akil Mohamed,Saouli Rachida,Kachouri Rostom

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference82 articles.

1. Design and implementation of a computer-aided diagnosis system for brain tumor classification;Abd-Ellah,2016

2. Computer aided system for brain tumor detection and segmentation;Akram,2011

3. Theano: a python framework for fast computation of mathematical expressions;Al-Rfou;arXiv preprint,2016

4. Brain tumor segmentation with deep neural networks;Axel;Proceedings MICCAI-BRATS,2014

5. Segnet: a deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;arXiv preprint arXiv:1511.00561,2015

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