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Found 3 papers, 1 papers with code
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data
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.
Exploring 3D U-Net Training Configurations and Post-Processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge
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.
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
Recent research on learning a mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks.
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