A Deep Learning Approach for Automated Segmentation of Kidneys and Exophytic Cysts in Individuals with Autosomal Dominant Polycystic Kidney Disease.

Journal: Journal of the American Society of Nephrology : JASN

Published Date: Jun 29, 2022

Abstract

BACKGROUND: Total kidney volume (TKV) is an important imaging biomarker in autosomal dominant polycystic kidney disease (ADPKD). Manual computation of TKV, particularly with the exclusion of exophytic cysts, is laborious and time consuming.

Authors

Youngwoo Kim

Interdisciplinary Program of Radiation Applied Life Science, Seoul National University College of Medicine.
Cheng Tao

Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Hyungchan Kim

Sustainable Technology and Wellness R&D Group, Korea Institute of Industrial Technology, Cheonan, Republic of Korea.
Geum-Yoon Oh

Sustainable Technology and Wellness R&D Group, Korea Institute of Industrial Technology, Cheonan, Republic of Korea.
Jeongbeom Ko

Sustainable Technology and Wellness R&D Group, Korea Institute of Industrial Technology, Cheonan, Republic of Korea.
Kyongtae T Bae

Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Keywords

Cysts Deep Learning Disease Progression Humans Image Processing, Computer-Assisted Kidney Magnetic Resonance Imaging Polycystic Kidney, Autosomal Dominant

External Resources

View on PubMed Access via DOI PubMed (35768178)

A Deep Learning Approach for Automated Segmentation of Kidneys and Exophytic Cysts in Individuals with Autosomal Dominant Polycystic Kidney Disease.

Abstract

Authors

Keywords

External Resources

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