A novel systematic approach to diagnose brain tumor using integrated type-II fuzzy logic and ANFIS (adaptive neuro-fuzzy inference system) model-Reference-Cited by-同舟云学术

A novel systematic approach to diagnose brain tumor using integrated type-II fuzzy logic and ANFIS (adaptive neuro-fuzzy inference system) model

Published:2019-12-23 Issue:15 Volume:24 Page:11731-11754
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Chatterjee Subhashis,Das Ananya^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-04635-7.pdf

Reference53 articles.

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2. Ananthi VP, Balasubramaniam P, Kalaiselvi T (2015) A new fuzzy clustering algorithm for the segmentation of brain tumor. Soft Comput 20(12):4859–4879. https://doi.org/10.1007/s00500-015-1775-5

3. Anitha R, Raja DS (2017) Segmentation of glioma tumors using convolutional neural networks. Int J Imaging Syst Technol 27(4):354–360. https://doi.org/10.1002/ima.22238

4. Bhaiya LP, Verma VK (2012) Classification of MRI brain images using neural network. Int J Eng Res Appl 2(5):751–756

5. Bhardwaj A, Siddhu KK (2013) An approach to medical image classification using neuro fuzzy logic and Anfis classifier. Int J Comput Trends Technol 4(3):236–240

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