Intraplaque haemorrhage quantification and molecular characterisation using attention based multiple instance learning.

ABSTRACT: Intraplaque haemorrhage (IPH) represents a critical feature of plaque vulnerability as it is robustly associated with adverse cardiovascular events, including stroke and myocardial infarction. How IPH drives plaque instability is unknown. However, its identification and quantification in atherosclerotic plaques is currently performed manually, with high interobserver variability, limiting its accurate assessment in large cohorts. Leveraging the Athero-Express biobank, an ongoing study comprising a comprehensive dataset of histological, transcriptional, and clinical information from 2,595 carotid endarterectomy patients, we developed an attention-based additive multiple instance learning (MIL) framework to automate the detection and quantification of IPH across whole-slide images of nine di

SUBMITTER: Cisternino F 

PROVIDER: S-EPMC11908327 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature