A smartly designed automated map based clustering algorithm for the enhanced diagnosis of pathologies in brain MR images-Reference-Cited by-同舟云学术

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A smartly designed automated map based clustering algorithm for the enhanced diagnosis of pathologies in brain MR images

Published:2020-09-21 Issue:2 Volume:38 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Senthilvel Vigneshwaran¹^ORCID,Govindaraj Vishnuvarthanan²,Zhang Yu‐Dong³,Murugan Pallikonda Rajasekaran¹,Thiyagarajan Arun Prasath²

Affiliation:

1. Department of ECE Kalasalingam Academy of Research and Education Srivilliputtur India

2. Department of Biomedical Engineering Kalasalingam Academy of Research and Education Srivilliputtur India

3. Department of Informatics University of Leicester Leicester UK

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12625

Reference35 articles.

1. Self-Organizing Map based Extended Fuzzy C-Means (SEEFC) algorithm for image segmentation

2. Probabilistic segmentation of brain tissue in MR imaging

3. A fuzzy clustering segmentation method based on neighborhood grayscale information for defining cucumber leaf spot disease images

4. Automated segmentation of multiple sclerosis lesions in multispectral MR imaging using fuzzy clustering

5. Thyroid Segmentation and Volume Estimation in Ultrasound Images

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2. An integration of meta-heuristic approach utilizing kernel principal component analysis for multimodal medical image registration;Cluster Computing;2024-02-26

3. Deep residual architectures and ensemble learning for efficient brain tumour classification;Expert Systems;2022-12-28

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