Learning precise segmentation of neurofibrillary tangles from rapid manual point annotations
A scalable, open-source, deep-learning approach to quantify NFT burden in digital whole slide images (WSIs) of post-mortem human brain tissue and openly releases this multi-institution deep-learning pipeline to provide detailed NFT spatial distribution and morphology analysis capability at a scale otherwise infeasible by manual assessment.
S. Ghandian, Liane Albarghouthi, Kiana Nava et al.
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