Brain tumor segmentation using hierarchical combination of fuzzy logic and cellular automata

Author:

Allahverdy Armin,Zare-Sadeghi Arash,Kalantari Roqaie,Moqadam Roqaie,Loghmani Nazila,Shiran MohammadBagher

Publisher

Medknow

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Radiological and Ultrasound Technology,Computer Science (miscellaneous)

Reference43 articles.

1. A review on brain tumor segmentation of MRI images;Wadhwa;Magn Reson Imaging,2019

2. A deep learning model integrating FCNNs and CRFs for brain tumor segmentation;Zhao;Med Image Anal,2018

3. Goetz M, Weber C, Bloecher J, Stieltjes B, Meinzer HP, Maier-Hein K. “Extremely Randomized Trees Based Brain Tumor Segmentation,” Proceeding of BRATS Challenge-MICCAI; 2014. p. 006-11.

4. DALSA: Domain adaptation for supervised learning from sparsely annotated MR images;Goetz;IEEE Trans Med Imaging,2016

5. Differentiating tumor and edema in brain magnetic resonance images using a convolutional neural network;Allahverdi;Front Biomed Technol,2018

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