“Deep ResUnet and Efficientnet Method Achieves High Accuracy in Alzheimer’s Disease Segmentation and Classification in Brain MRI Scans”

https://pubmed.ncbi.nlm.nih.gov/38116762

The abstract describes a new method that uses Deep ResUnet and Efficientnet to accurately segment and classify Alzheimer’s disease in brain MRI scans, achieving 99.31% and 99.38% accuracy on Kaggle and ADNI datasets, respectively.