Automatic selection of localized region-based active contour models using image content analysis applied to brain tumor segmentation-Reference-Cited by-同舟云学术

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Automatic selection of localized region-based active contour models using image content analysis applied to brain tumor segmentation

Published:2017-12 Issue: Volume:91 Page:69-79
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Ilunga–Mbuyamba Elisee,Avina–Cervantes Juan Gabriel,Cepeda–Negrete Jonathan,Ibarra–Manzano Mario Alberto,Chalopin Claire

Funder

Mexican National Council of Science and Technology

University of Guanajuato

German Research Society

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference40 articles.

1. Brain tumor segmentation using convolutional neural networks in mri images;Pereira;IEEE Trans. Med. Imaging,2016

2. Brain tumor segmentation with deep neural networks;Havaei;Med. Image Anal.,2017

3. A generative probabilistic model and discriminative extensions for brain lesion segmentation; with application to tumor and stroke;Menze;IEEE Trans. Med. Imaging,2016

4. Brain tumor segmentation based on local independent projection-based classification;Huang;IEEE Trans. Biomed. Eng.,2014

5. Multifractal texture estimation for detection and segmentation of brain tumors;Islam;IEEE Trans. Biomed. Eng.,2013

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