Deep-learning segmentation of ultrasound images for automated calculation of the hydronephrosis area to renal parenchyma ratio.

Sang Hoon Song Jae Hyeon Han Kun Suk Kim Young Ah Cho Hye Jung Youn Young In Kim Jihoon Kweon

Published in: Investigative and clinical urology (2022)

Deep-learning-based calculation of the HARP ratio is feasible and showed high accuracy for imaging of the severity of hydronephrosis using ultrasonography. This algorithm can help physicians make more accurate and reproducible diagnoses of hydronephrosis using ultrasonography.

Keyphrases

deep learning
magnetic resonance imaging
convolutional neural network
high resolution
contrast enhanced
artificial intelligence
machine learning
primary care
monte carlo
computed tomography
magnetic resonance
mass spectrometry
fluorescence imaging
contrast enhanced ultrasound