Exploring Reinforcement Learning for End-Diastolic and End-Systolic Frame Detection

The thesis explores ways of formulating the problem of detecting the key cardiac phases from ultrasound videos, i.e., the end diastolic (ED) and end systolic (ES) phases, as a reinforcement learning (RL) problem, and whether there are any benefits in doing so. Of particular interest is the design of...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Kvalevåg, Magnus Dalen
Format:	Dissertation
Sprache:	nor
Schlagworte:	echocardiography end-diastole end-systole phase detection reinforcement learning
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