Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review
摘要
Dementia encompasses a range of cognitive disorders, with Alzheimer’s Disease being the utmost widespread and devastating. AD gradually erodes memory and daily functioning through the progressive deterioration of brain cells. It poses a significant global health challenge, necessitating early identification and intervention. Detecting AD at its onset holds immense potential to predict future health outcomes for individuals. By harnessing the power of artificial intelligence and leveraging MRI scans, we could utilize advanced technology to not only classify AD patients but also predict the likelihood of them developing this life-altering condition. This paper delves into the latest advancements in Deep Learning techniques and their functions in image analysis in medical field. Its primary goals are to elucidate the intricacies of medical image processing and to elucidate and implement key findings and recommendations from recent research.