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Development and Validation of a Deep Learning-Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images.

Chong Hyun SuhWoo Hyun ShimSang Joon KimJee Hoon RohJae-Hong LeeM-J KimS ParkW JungJinkyeong SungGeon Ho Jahngnull null
Published in: AJNR. American journal of neuroradiology (2020)
The deep learning-based automatic brain segmentation and classification algorithm allowed an accurate diagnosis of Alzheimer disease using T1-weighted brain MR images. The widespread availability of T1-weighted brain MR imaging suggests that this algorithm is a promising and widely applicable method for predicting Alzheimer disease.
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