A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis With Incomplete Data
Author:
Affiliation:
1. Department of Electrical Engineering, Korea University, Seoul, South Korea
2. Department of Radiology, The Catholic University of Korea, Seoul, South Korea
3. Department of Urology, The Catholic University of Korea, Seoul, South Korea
Funder
Korea Medical Device Development Fund
Ministry of Science and ICT
Ministry of Trade, Industry and Energy
Ministry of Health & Welfare
Ministry of Food and Drug Safety
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/9973412/09937038.pdf?arnumber=9937038
Reference62 articles.
1. The value of quantitative CT texture analysis in differentiation of angiomyolipoma without visible fat from clear cell renal cell carcinoma on four-phase contrast-enhanced CT images
2. Importance of phase enhancement for machine learning classification of solid renal masses using texture analysis features at multi-phasic CT
3. DyeFreeNet: Deep Virtual Contrast CT Synthesis
4. Multi-Domain Image Completion for Random Missing Input Data
5. Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis
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