Analysis of kidney ultrasound images using deep learning and machine learning techniques: A review
M George, HB Anita - … Computing and Social Networking: Proceedings of …, 2022 - Springer
Ultrasonography is the most accepted and widely used imaging technique due to its non-
invasive and radiation-free nature. The heterogeneous structure of kidney makes the …
invasive and radiation-free nature. The heterogeneous structure of kidney makes the …
Using deep learning algorithms to grade hydronephrosis severity: toward a clinical adjunct
Grading hydronephrosis severity relies on subjective interpretation of renal ultrasound
images. Deep learning is a data-driven algorithmic approach to classifying data, including …
images. Deep learning is a data-driven algorithmic approach to classifying data, including …
Deep learning blockchain integration framework for Ureteropelvic junction obstruction diagnosis using ultrasound images
UreteroPelvic Junction Obstruction (UPJO) is a common hydronephrosis disease in children
that can result in an even progressive loss of renal function. Ultrasonography is an …
that can result in an even progressive loss of renal function. Ultrasonography is an …
Predicting obstructive hydronephrosis based on ultrasound alone
Prenatal hydronephrosis (HN) makes up nearly 30% of pediatric Urology Department visits,
yet remains challenging to prognosticate without repeated ultrasounds and invasive clinical …
yet remains challenging to prognosticate without repeated ultrasounds and invasive clinical …
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning
Background and motivations Antenatal or prenatal hydronephrosis (AHN) is a common
kidney complication in unborn children. While AHN is generally benign and resolves over …
kidney complication in unborn children. While AHN is generally benign and resolves over …
Evaluation of pediatric hydronephrosis using deep learning quantification of fluid-to-kidney-area ratio by ultrasonography
Purpose Hydronephrosis is the dilation of the pelvicalyceal system due to the urine flow
obstruction in one or both kidneys. Conventionally, renal pelvis anterior–posterior diameter …
obstruction in one or both kidneys. Conventionally, renal pelvis anterior–posterior diameter …
Unsupervised medical image segmentation with adversarial networks: From edge diagrams to segmentation maps
U Sivanesan, LH Braga, RR Sonnadara… - arXiv preprint arXiv …, 2019 - arxiv.org
We develop and approach to unsupervised semantic medical image segmentation that
extends previous work with generative adversarial networks. We use existing edge detection …
extends previous work with generative adversarial networks. We use existing edge detection …
A mutual promotion encoder-decoder method for ultrasonic hydronephrosis diagnosis
As a common cause of hydronephrosis in children, ureteropelvic junction obstruction (UPJO)
may lead to a series of progressive renal dysfunction. Ultrasonography is a primary …
may lead to a series of progressive renal dysfunction. Ultrasonography is a primary …
Texture branch network for chronic kidney disease screening based on ultrasound images
P Hao, Z Xu, S Tian, F Wu, W Chen, J Wu… - Frontiers of Information …, 2020 - Springer
Chronic kidney disease (CKD) is a widespread renal disease throughout the world. Once it
develops to the advanced stage, serious complications and high risk of death will follow …
develops to the advanced stage, serious complications and high risk of death will follow …
[PDF][PDF] Is despeckling necessary for deep learning based ultrasound image segmentation?
F Liu, L Chen, P Qin, S Xu, Z Dong, X Zhao, X Wan… - Authorea …, 2023 - techrxiv.org
Whether ultrasound despeckling is necessary for deep learning based ultrasound image
segmentation is an unsolved problem in automatic ultrasound diagnosis and deep learning …
segmentation is an unsolved problem in automatic ultrasound diagnosis and deep learning …