Alzheimer disease detection from structural MR images using FCM based weighted probabilistic neural network-Reference-Cited by-同舟云学术

Alzheimer disease detection from structural MR images using FCM based weighted probabilistic neural network

Published:2018-02-19 Issue:1 Volume:13 Page:87-110
ISSN:1931-7557
Container-title:Brain Imaging and Behavior
language:en
Short-container-title:Brain Imaging and Behavior

Author:

Duraisamy Baskar,Shanmugam Jayanthi Venkatraman,Annamalai Jayanthi

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Psychiatry and Mental health,Cellular and Molecular Neuroscience,Clinical Neurology,Cognitive Neuroscience,Neurology,Radiology Nuclear Medicine and imaging

Link

http://link.springer.com/article/10.1007/s11682-018-9831-2/fulltext.html

Reference48 articles.

1. Akgül, C. B., Ünay, D., & Ekin, A. (2009). Automated diagnosis of Alzheimer’s disease using image similarity and user feedback. In Proceedings of the ACM International Conference on Image and Video Retrieval, 1–34). ACM.

2. Amadasun, M., & King, R. (1989). Textural features corresponding to textural properties. IEEE Transactions on Systems, Man, and Cybernetics, 19(5), 1264–1274.

3. Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008). Speeded-up robust features (SURF). Computer vision and image understanding, 110(3), pp. 346–359.

4. Bezdek, J. C., Ehrlich, R., & Full, W. (1984). FCM: the fuzzy c-means clustering algorithm. Computers & Geosciences, 10(2–3), 191–203.

5. Chandrashekar, G., & Sahin, F. (2014). A survey on feature selection methods. Computers & Electrical Engineering, 40(1), 16–28.

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Alzheimer's Disease Diagnosis: A Hybrid Model of Transfer Learning and SVM for Improved Classification Accuracy;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

2. A slice selection guided deep integrated pipeline for Alzheimer’s prediction from Structural Brain MRI;Biomedical Signal Processing and Control;2024-03

3. Advances in Deep Learning for the Detection of Alzheimer’s Disease Using MRI—A Review;Studies in Computational Intelligence;2024

4. Diagnosis of Alzheimer’s Disease with Deep Neural Networks;Lecture Notes in Networks and Systems;2024

5. Application of Artificial Intelligence Technique to Detect Alzheimer's Disease;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14