Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view …

S Kasim, J Tang, S Malek, KS Ibrahim, RER Shariff… - Plos one, 2024 - journals.plos.org
Background Regional Wall Motion Abnormality (RWMA) serves as an early indicator of
myocardial infarction (MI), the global leader in mortality. Accurate and early detection of …

Evaluating usefulness of deep learning based left ventricle segmentation in cardiac gated blood pool scan

JY Oh, EH Jeong, JY Lee, HH Park - Journal of radiological …, 2022 - koreascience.kr
Abstract The Cardiac Gated Blood Pool (GBP) scintigram, a nuclear medicine imaging,
calculates the left ventricular Ejection Fraction (EF) by segmenting the left ventricle from the …