A meta-graph approach for analyzing whole slide histopathological images of human brain tissue with Alzheimer's disease biomarkers

Gabriel Jimenez, Pablo Mas, Anuradha Kar, Julien Peyrache, Lea Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


Recently, high-performance deep learning models have enabled automatic and precise analysis of medical images with high content. In digital histopathology, a challenge lies in analyzing Whole Slide Images (WSI) due to their large size, often requiring splitting them into smaller patches for deep learning models. This leads to the loss of global tissue information and limits the classification or clustering of patients based on tissue characteristics. In this study, we develop a meta-graph approach for semantic spatial analysis of WSI of human brain tissue containing tau protein aggregates, a hallmark of Alzheimer's disease (AD) in gray matter. Our pipeline extracts morphological features of tau aggregates, such as forming neuritic plaques, and builds a graph based on Delaunay triangulation at the WSI level to extract topological features. This generates morphological and topological data from WSI for patient classification and clustering. We tested this pipeline on a dataset of 15 WSIs from different AD patients. We aim to identify new insights into AD evolution and provide a generic framework for WSI characterization and analysis.

Idioma originalInglés
Título de la publicación alojadaMedical Imaging 2023
Subtítulo de la publicación alojadaDigital and Computational Pathology
EditoresJohn E. Tomaszewski, Aaron D. Ward
ISBN (versión digital)9781510660472
EstadoPublicada - 2023
Publicado de forma externa
EventoMedical Imaging 2023: Digital and Computational Pathology - San Diego, Estados Unidos
Duración: 19 feb. 202323 feb. 2023

Serie de la publicación

NombreProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (versión impresa)1605-7422


ConferenciaMedical Imaging 2023: Digital and Computational Pathology
País/TerritorioEstados Unidos
CiudadSan Diego


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