Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation

Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation

A urinary stone is a type of abnormality that occurs frequently in the urinary system. An automated segmentation of urinary stones is important for assisting medical doctors in early diagnosis and further treatment. While deep learning techniques are effective for image segmentation, they require a...

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Bibliographic Details
Main Authors: Wongsakorn Preedanan, Kenji Suzuki, Toshiaki Kondo, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii, Itsuo Kumazawa
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
GANs
data augmentation
image inpainting
abdominal X-Ray imaging
urinary stone segmentation
Online Access:https://ieeexplore.ieee.org/document/9933448/

Internet

https://ieeexplore.ieee.org/document/9933448/

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