Automatic segmentation of kidneys using deep learning for total kidney volume quantification in autosomal dominant polycystic kidney disease

K Sharma, C Rupprecht, A Caroli, MC Aparicio… - Scientific reports, 2017 - nature.com
Abstract Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most common
inherited disorder of the kidneys. It is characterized by enlargement of the kidneys caused by …

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks

S Yin, Q Peng, H Li, Z Zhang, X You, K Fischer… - Medical image …, 2020 - Elsevier
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images
due to the kidneys' varied shapes and image intensity distributions, although semi-automatic …

Semiautomated segmentation of polycystic kidneys in T2-weighted MR images

TL Kline, ME Edwards, P Korfiatis… - American Journal of …, 2016 - Am Roentgen Ray Soc
OBJECTIVE. The objective of the present study is to develop and validate a fast, accurate,
and reproducible method that will increase and improve institutional measurement of total …

Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network

S Yin, Z Zhang, H Li, Q Peng, X You… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
It remains challenging to automatically segment kidneys in clinical ultrasound images due to
the kidneys' varied shapes and image intensity distributions, although semi-automatic …

Automatic Segmentation of Kidney Volume Using Multi-Module Hybrid Based U-Shape in Polycystic Kidney Disease

H Cui, Y Ma, M Yang, Y Lu, M Zhang, L Fu, C Fu… - IEEE …, 2023 - ieeexplore.ieee.org
Polycystic kidney disease (Autosomal Dominant Polycystic Kidney Disease, ADPKD) is the
most common genetic disease of the kidney, and the measurement of Total Kidney Volume …

[HTML][HTML] Segmentation of ADPKD Computed Tomography Images with Deep Learning Approach for Predicting Total Kidney Volume

TW Sheng, DD Onthoni, P Gupta, TH Lee, PK Sahoo - Biomedicines, 2025 - mdpi.com
Background: Total Kidney Volume (TKV) is widely used globally to predict the progressive
loss of renal function in patients with Autosomal Dominant Polycystic Kidney Disease …

Fully automated segmentation of polycystic kidneys from noncontrast computed tomography: A feasibility study and preliminary results

D Turco, M Valinoti, EM Martin, C Tagliaferri, F Scolari… - Academic radiology, 2018 - Elsevier
Rationale and Objectives Total kidney volume is an important biomarker for the evaluation of
autosomal dominant polycystic kidney disease progression. In this study, we present a novel …

Automatic segmentation of polycystic kidneys from magnetic resonance images using decision tree classification and snake algorithm

JA O'Reilly, S Tanpradit, T Puttasakul… - 2019 12th …, 2019 - ieeexplore.ieee.org
Autosomal dominant polycystic kidney disease (ADPKD) is characterized by progressive
bilateral renal cyst formation, leading to severe increases in kidney volume and loss of …

[PDF][PDF] Subsequent boundary distance regression and pixelwise classification networks for automatic kidney segmentation in ultrasound images

S Yin, Q Peng, H Li, Z Zhang, X You… - arXiv preprint arXiv …, 2018 - researchgate.net
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images
due to the kidneys' varied shapes and image intensity distributions, although semiautomatic …

Machine learning methods for segmentation in autosomal dominant polycystic kidney disease

K Sharma - 2017 - mediatum.ub.tum.de
In Autosomal Dominant Polycystic Kidney Disease (ADPKD), automated segmentation of
kidneys for total kidney volume (TKV) measurement is very challenging due to severe …