HIGHLIGHTS
- who: Hui Li from the United Kingdom Zayed University, United Arab Emirates have published the paper: Deep learning automates detection of wall motion abnormalities via measurement of longitudinal strain from ECG-gated CT images, in the Journal: (JOURNAL)
- what: The authors demonstrate the ability of a recently published deep learning framework to automatically and accurately measure LS for detection of wall motion abnormalities (WMA). To test the clinical utility of the approach , the authors evaluated whether automatic LS can be used to detect WMA in a set of 100 clinical cases which were visually analyzed . . .
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