Deep Learning-Based Total Kidney Volume Segmentation in Autosomal Dominant Polycystic Kidney Disease Using Attention, Cosine Loss, and Sharpness Aware Minimization

Deep Learning-Based Total Kidney Volume Segmentation in Autosomal Dominant Polycystic Kidney Disease Using Attention, Cosine Loss, and Sharpness Aware Minimization

Early detection of the autosomal dominant polycystic kidney disease (ADPKD) is crucial as it is one of the most common causes of end-stage renal disease (ESRD) and kidney failure. The total kidney volume (TKV) can be used as a biomarker to quantify disease progression. The TKV calculation requires a...

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Bibliographic Details
Main Authors: Anish Raj, Fabian Tollens, Laura Hansen, Alena-Kathrin Golla, Lothar R. Schad, Dominik Nörenberg, Frank G. Zöllner
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Diagnostics
Subjects:
attention
autosomal dominant polycystic kidney disease
cosine loss
deep learning
image segmentation
magnetic resonance imaging
Online Access:https://www.mdpi.com/2075-4418/12/5/1159

Internet

https://www.mdpi.com/2075-4418/12/5/1159

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