ALSA-3: Customized CNN model through ablation study for Alzheimer's disease classification
Authors:
- AssaduzzamanASAssaduzzaman
- Monoronjon DuttaMDMonoronjon Dutta
- Arpa SahaASArpa Saha
- Showmick Guha PaulSPShowmick Guha Paul
Open Access
- 5 October 2024
- journal article
- Published by Elsevier in Informatics in Medicine Unlocked
- Vol. 50
Abstract
No abstract availableKeywords
This publication has 67 references indexed in Scilit:
- Alzheimer’s disease classification: a comprehensive studyMultimedia Tools and Applications, 2024
- Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography ImagesJournal of Digital Imaging, 2023
- Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI ImagesJournal of Medical and Biological Engineering, 2023
- A Hybrid Deep Learning Framework to Predict Alzheimer’s Disease Progression Using Generative Adversarial Networks and Deep Convolutional Neural NetworksArabian Journal for Science and Engineering, 2023
- A deep learning framework for early diagnosis of Alzheimer’s disease on MRI imagesMultimedia Tools and Applications, 2023
- Alz-ConvNets for Classification of Alzheimer Disease Using Transfer Learning ApproachSN Computer Science, 2023
- A CNN based framework for classification of Alzheimer’s diseaseNeural Computing and Applications, 2021
- Receiver operating characteristic (ROC) curve for medical researchersIndian Pediatrics, 2011
- Measurements of the Amygdala and Hippocampus in Pathologically Confirmed Alzheimer Disease and Frontotemporal Lobar DegenerationArchives of Neurology, 2006
- The Neurologic Examination in Patients With Probable Alzheimer's DiseaseArchives of Neurology, 1987