Hidden Cues: Deep Learning for Alzheimer’s Disease Classification CS331B project final report
نویسندگان
چکیده
Alzheimers disease is the most common form of dementia in adults aged 65 or older. While many neuro-imaging based biomarkers have been proposed over the years for detection of AD, these have mostly been hand-crafted and utilized domain-specific clinical knowledge. In this project, we are interested in automatically discovering such biomarkers (hidden cues) by using deep learning methods to classify Alzheimer’s patients and normal controls.
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