Artificial intelligence assisted compositional analyses of human abdominal aortic aneurysms <i>ex vivo</i>.

Thorsted, Bjarne; Bjerregaard, Lisette; Jensen, Pia S; Rasmussen, Lars M; Lindholt, Jes S; Bloksgaard, Maria

Artificial intelligence assisted compositional analyses of human abdominal aortic aneurysms ex vivo.

Thorsted, Bjarne; Bjerregaard, Lisette; Jensen, Pia S; Rasmussen, Lars M; Lindholt, Jes S; Bloksgaard, Maria.

Affiliation

Thorsted B; Department of Cardiothoracic and Vascular Surgery, Odense University Hospital, Odense, Denmark.
Bjerregaard L; Department of Cardiothoracic and Vascular Surgery, Odense University Hospital, Odense, Denmark.
Jensen PS; Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.
Rasmussen LM; Odense Artery Biobank, Odense University Hospital, Odense, Denmark.
Lindholt JS; Center for Individualized Medicine in Arterial Diseases, Odense University Hospital, Odense, Denmark.
Bloksgaard M; Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.

Front Physiol ; 13: 840965, 2022.

Article in En | MEDLINE | ID: mdl-36072852

Key words

abdominal aortic aneurysm; automated histological image analysis; cell detection and segmentation; extracellular matrix; machine learning; neural network

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Physiol Year: 2022 Document type: Article

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Physiol Year: 2022 Document type: Article