Patent ID: 11571156

Abstract:
A renal function assessment method includes following steps. A target kidney ultrasound image data of a subject is provided. An image pre-processing step is performed, wherein an image size of the target kidney ultrasound image data is adjusted, and the target kidney ultrasound image data is normalized according to an average and a standard deviation of a visual image database to obtain an after-processed target kidney ultrasound image data. A feature extracting step is performed, wherein the after-processed target kidney ultrasound image data is trained to achieve a convergence by a first deep-learning classifier to obtain an image feature of the after-processed target kidney ultrasound image data. A determining step is performed, wherein the image feature of the after-processed target kidney ultrasound image data is analyzed by the first deep-learning classifier to obtain an assessing result of an estimated glomerular filtration rate (eGFR).