Article

Age-informed, attention-based weakly supervised learning for neuropathological image assessment

2025-05-22

Abstract excerpt

Chronic Traumatic Encephalopathy (CTE) and other neurodegenerative disorders (NDs) pose diagnostic challenges due to their diffuse and subtle pathological changes. Traditional diagnostic methods relying on manual histopathological slide inspection are labor-intensive and prone to variability, often missing subtle structural alterations. This study introduces an age-informed, attention-based multiple instance learn...

Topics

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

Identifiers and source

Literature Corpus work: 04126f00-fec9-5cdb-bdc7-db3174502937
DOI: 10.1101/2025.05.16.654510

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Age-informed, attention-based weakly supervised learning for neuropathological image assessmentDOI 10.1101/2025.05.16.654510Read

Learning precise segmentation of neurofibrillary tangles from rapid manual point annotationsSemantic proximity Read

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

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

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

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

Regional brain aging patterns reveal disease-specific pathways of neurodegenerationSemantic proximity Read

X-Swin: A Robust Hierarchical Vision Transformer with Explainable Attention Mechanisms for Dementia Severity Classification from Structural MRISemantic proximity Read

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

A Practical Alzheimer Disease Classifier via Brain Imaging-Based Deep Learning on 85,721 SamplesSemantic proximity Read

Computational pathology infers clinically relevant protein levels and drug response in breast cancer by weakly supervised contrastive learningSemantic proximity Read

Multimodal deep learning framework for Alzheimer’s stage classification using GAN-augmented MRI and clinical dataSemantic proximity Read