Open AccessDeep-learning segmentation of ultrasound images for automated calculation of the hydronephrosis area to renal parenchyma ratio
Author(s) -
Sang Hoon Song,
Jae Hyeon Han,
Kun Suk Kim,
Young Ah Cho,
Hye Jung Youn,
Young In Kim,
Jihoon Kweon
Publication year - 2022
Publication title -
investigative and clinical urology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.653
H-Index - 14
eISSN - 2466-054X
pISSN - 2466-0493
DOI - 10.4111/icu.20220085
Subject(s) - hydronephrosis , medicine , segmentation , sørensen–dice coefficient , ultrasound , radiology , artificial intelligence , image segmentation , computer science , anatomy , urinary system
We investigated the feasibility of measuring the hydronephrosis area to renal parenchyma (HARP) ratio from ultrasound images using a deep-learning network.