Human‒machine interaction based on real-time explainable deep learning for higher accurate grading of carotid stenosis from transverse B-mode scan videos

Carotid artery stenosis is an atherosclerotic disease that is responsible for 8 %–20 % of all strokes [1]. And the degree of carotid stenosis is also the primary surrogate for stroke risk and indication of intervention in current guidelines [2].

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