Article

Histopathological evaluation of abdominal aortic aneurysms with deep learning

2024-04-24

Abstract excerpt

Computational analysis of histopathological specimens holds promise in identifying biomarkers, elucidating disease mechanisms, and streamlining clinical diagnosis. However, the application of deep learning techniques in vascular pathology remains underexplored. Here, we present a comprehensive evaluation of deep learning-based approaches to analyze digital whole-slide images of abdominal aortic aneurysm samples fr...

Topics

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

Identifiers and source

Literature Corpus work: a82994fc-25a1-5d2c-946b-873608fa1f84
DOI: 10.1101/2024.04.23.24306178

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Histopathological evaluation of abdominal aortic aneurysms with deep learningDOI 10.1101/2024.04.23.24306178Read

Automated Abdominal Aortic Calcification Scoring via Deep Learning: A Multi-Center Validation of LVLCRNetSemantic proximity Read

Differential Expression Analyses on Human Aortic Tissue Reveal Novel Genes and Pathways Associated With Abdominal Aortic Aneurysm Onset and Progression.Semantic proximity Read

Common molecular mechanism and immune infiltration patterns of thoracic and abdominal aortic aneurysmsSemantic proximity Read

Deep learning enables genetic analysis of the human thoracic aortaSemantic proximity Read

Cardiovascular measures from abdominal MRI provide insights into abdominal vessel genetic architectureSemantic proximity Read

Identification of Macrophage-Related Biomarkers for Abdominal Aortic Aneurysm through Combined Single-Cell Sequencing and Machine LearningSemantic proximity Read

Volumetric Analysis of Acute Uncomplicated Type B Aortic Dissection Using an Automated Deep Learning Aortic Zone Segmentation ModelSemantic proximity Read

Aortic Aneurysmectomy: The American College of Cardiology/American Heart Association Guidelines.Semantic proximity Read

Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithmsSemantic proximity Read

Identification of key monocytes/macrophages related gene set of the early-stage abdominal aortic aneurysm by integrated bioinformatics analysis and experimental validationSemantic proximity Read

Using Genomics to Identify Novel Therapeutic Targets for Aortic Disease.Semantic proximity Read

Using Machine Learning to Elucidate the Spatial and Genetic Complexity of the Ascending AortaSemantic proximity Read