Article

Learning precise segmentation of neurofibrillary tangles from rapid manual point annotations

2024-05-17

Abstract excerpt

Accumulation of abnormal tau protein into neurofibrillary tangles (NFTs) is a pathologic hallmark of Alzheimer disease (AD). Accurate detection of NFTs in tissue samples can reveal relationships with clinical, demographic, and genetic features through deep phenotyping. However, expert manual analysis is time-consuming, subject to observer variability, and cannot handle the data amounts generated by modern imaging....

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f4a3a872-757e-5771-9784-90cb5e660e0d
DOI: 10.1101/2024.05.15.594372

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Learning precise segmentation of neurofibrillary tangles from rapid manual point annotationsDOI 10.1101/2024.05.15.594372Read

Automated segmentation by deep learning of neuritic plaques and neurofibrillary tangles in brain sections of Alzheimer’s Disease PatientsSemantic proximity Read

Deep Learning for Alzheimer’s Disease: Mapping Large-scale Histological Tau Protein for Neuroimaging Biomarker ValidationSemantic proximity Read

A Scalable High Throughput Fully Automated Pipeline for the Quantification of Amyloid Pathology in Alzheimer’s Disease using Deep Learning AlgorithmsSemantic proximity Read

Generalizable Prediction of Alzheimer Disease Pathologies with a Scalable Annotation Tool and an High-Accuracy ModelSemantic proximity Read

Automated Segmentation of Amyloid- <i>β</i> Stained Whole Slide Images of Brain TissueSemantic proximity Read

Age-informed, attention-based weakly supervised learning for neuropathological image assessmentSemantic proximity Read

Multi-model Segmentation and Morphometric Quantification of Cerebral Amyloid Angiopathy in Alzheimer’s Disease Whole Slide Histopathology ImagesSemantic proximity Read

Machine Learning Classification of Alzheimer’s Disease Pathology Reveals Diffuse Amyloid as a Major Predictor of Cognitive Impairment in Human Hippocampal SubregionsSemantic proximity Read

Mapping Alzheimer′s neuropathology signatures to the whole brain transcriptome using machine learning data fusionSemantic proximity Read

Advances in Deep Neuropathological Phenotyping of Alzheimer Disease: Past, Present, and Future.Semantic proximity Read

A unified model for staging amyloid and tau pathology in Alzheimer’s diseaseSemantic proximity Read

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic DataSemantic proximity Read