A multicenter Chinese study shows that a machine-learning radiomics model built from routine non-contrast CT scans, combined ...
When reading CT scans of liver cirrhosis, you may find tortuous vessels around the esophagus and stomach. As portal pressure ...
A new deep-learning network called MFANet modestly outperformed leading models at segmenting liver tumors on CT scans even ...
Adding MRI to CT may improve the accuracy of detecting nonviable disappearing liver metastases than CT alone among patients with initially unresectable colorectal liver metastases. However, confirmed ...
Kristie Kahl of CURE spoke with Nicole Wright Dirks, a volunteer with Blue Faery, a patient advocacy organization focused on liver cancer. At the 2026 ASCO Annual Meeting, Kristie Kahl of CURE spoke ...
Recent research has focused on multimodal medical image segmentation. A cascaded V-net and H-DenseUNet approach have improved Dice scores, but at the expense of high computational complexity.
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