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

Author:

Preedanan Wongsakorn1ORCID,Suzuki Kenji1,Kondo Toshiaki2,Kobayashi Masaki3,Tanaka Hajime3,Ishioka Junichiro3,Matsuoka Yoh3ORCID,Fujii Yasuhisa3,Kumazawa Itsuo1

Affiliation:

1. Department of Information and Communications Engineering, School of Engineering, Tokyo Institute of Technology, Midori-ku, Yokohama, Japan

2. School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Prathumthani, Thailand

3. Department of Urology, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan

Funder

JST-Mirai Program, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference42 articles.

1. UNet++: A Nested U-Net Architecture for Medical Image Segmentation

2. Road Extraction by Deep Residual U-Net

3. MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

4. Adam: A method for stochastic optimization;kingma;Proc 3rd Int Conf Learn Represent (ICLR),2015

5. Multi-scale context aggregation by dilated convolutions;yu;Proc Int Conf Learn Represent (ICLR),2016

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