Deep Learning for Alzheimer's Disease Classification using Texture Features.

CONCLUSION: The proposed model was at least 6-19% more accurate than the SVM and KNN classifiers, respectively. Hence, this study confirms the validity and superiority of the proposed method, which can be used as a diagnostic tool for early Alzheimer's diagnosis. PMID: 32008517 [PubMed - in process]
Source: Current Medical Imaging Reviews - Category: Radiology Tags: Curr Med Imaging Rev Source Type: research