no code implementations • 9 Dec 2023 • Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Sung-Hoo Hong, Sung-Jea Ko
In this paper, we propose a unified framework for kidney cancer diagnosis with incomplete multi-phase CT, which simultaneously recovers missing CT images and classifies cancer subtypes using the completed set of images.
no code implementations • 9 Dec 2023 • Kwang-Hyun Uhm, Hyunjun Cho, Zhixin Xu, Seohoon Lim, Seung-Won Jung, Sung-Hoo Hong, Sung-Jea Ko
In 2023, it is estimated that 81, 800 kidney cancer cases will be newly diagnosed, and 14, 890 people will die from this cancer in the United States.
1 code implementation • 20 Nov 2019 • Kwang-Hyun Uhm, Seung-Wook Kim, Seo-won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko
Recent research on learning a mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks.