Artificial Intelligence in Computer Vision: Cardiac MRI and Multimodality Imaging Segmentation.

ABSTRACT:

Purpose of review

Anatomical segmentation has played a major role within clinical cardiology. Novel techniques through artificial intelligence-based computer vision have revolutionized this process through both automation and novel applications. This review discusses the history and clinical context of cardiac segmentation to provide a framework for a survey of recent manuscripts in artificial intelligence and cardiac segmentation. We aim to clarify for the reader the clinical question of "Why do we segment?" in order to understand the question of "Where is current research and where should be?".

Recent findings

There has been increasing research in cardiac segmentation in recent years. Segmentation models are most frequently based on a U-Net structure. Multiple innovations

SUBMITTER: Kwan AC 

PROVIDER: S-EPMC9187294 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature