Deep learning-based automated kidney and cyst segmentation of autosomal dominant polycystic kidney disease using single vs. multi-institutional data-Reference-Cited by-同舟云学术

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Deep learning-based automated kidney and cyst segmentation of autosomal dominant polycystic kidney disease using single vs. multi-institutional data

Published:2024-02 Issue: Volume:106 Page:110068
ISSN:0899-7071
Container-title:Clinical Imaging
language:en
Short-container-title:Clinical Imaging

Author:

Schmidt Emma K.,Krishnan Chetana,Onuoha Ezinwanne,Gregory Adriana V.,Kline Timothy L.,Mrug Michal,Cardenas Carlos,Kim Harrison

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference23 articles.

1. Autosomal-dominant polycystic kidney disease (ADPKD): executive summary from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference;Chapman;Kidney Int,2015

2. Autosomal dominant polycystic kidney disease and transplantation;Niemczyk;Ann Transplant,2009

3. Renal compartment segmentation in DCE-MRI images;Yang;Med Image Anal,2016

4. A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease;Simms;Eur Radiol,2019

5. Increases in kidney volume in autosomal dominant polycystic kidney disease can be detected within 6 months;Kistler;Kidney Int,2009

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. UNet++ Compression Techniques for Kidney and Cyst Segmentation in Autosomal Dominant Polycystic Kidney Disease;Advanced Biomedical Engineering;2024

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