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

ABSTRACT: Quantification of histological information from excised human abdominal aortic aneurysm (AAA) specimens may provide essential information on the degree of infiltration of inflammatory cells in different regions of the AAA. Such information will support mechanistic insight in AAA pathology and can be linked to clinical measures for further development of AAA treatment regimens. We hypothesize that artificial intelligence can support high throughput analyses of histological sections of excised human AAA. We present an analysis framework based on supervised machine learning. We used TensorFlow and QuPath to determine the overall architecture of the AAA: thrombus, arterial wall, and adventitial loose connective tissue. Within the wall and adventitial zones, the content of collagen, elastin, an

SUBMITTER: Thorsted B 

PROVIDER: S-EPMC9441486 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature