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

PURPOSE: We investigated the feasibility of measuring the hydronephrosis area to renal parenchyma (HARP) ratio from ultrasound images using a deep-learning network. MATERIALS AND METHODS: The coronal renal ultrasound images of 195 pediatric and adolescent patients who underwent pyeloplasty to repair...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Sang Hoon, Han, Jae Hyeon, Kim, Kun Suk, Cho, Young Ah, Youn, Hye Jung, Kim, Young In, Kweon, Jihoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Urological Association 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262488/
https://www.ncbi.nlm.nih.gov/pubmed/35670007
http://dx.doi.org/10.4111/icu.20220085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262488/
https://www.ncbi.nlm.nih.gov/pubmed/35670007
http://dx.doi.org/10.4111/icu.20220085

Ejemplares similares