Towards Explainable Detection of Alzheimer's Disease: A Fusion of Deep Convolutional Neural Network and Enhanced Weighted Fuzzy C-Mean
Through the development of this model, we contribute to the advancement of dependable diagnostic tools tailored for the detection and management of Alzheimer's disease. By prioritizing interpretability alongside accuracy, our approach provides valuable insights into the decisionmaking process of the model, ultimately improving patient outcomes and facilitating further research in neurodegenerative disorders.
Authors
- Parul Parihar (ORCID: https://orcid.org/0000-0002-2127-177X)
- Subramanian Selvakumar (ORCID: https://orcid.org/0009-0008-8344-0920)
- D. Vetrithangam
- Naresh Kumar Pegada
- Neha
- Puneet Kumar (ORCID: https://orcid.org/0000-0001-5641-0373)
- B. Arunadevi
- Anshu Mehta (ORCID: https://orcid.org/0000-0002-6671-1564)
Institutions
- Chandigarh University (IN)
- Dr. N.G.P. Institute of Technology
- Bahir Dar University (ET)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2024-12-03
- DOI
- https://doi.org/10.2174/0115734056317205241014060633
- Citations
- 7
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.73