https://www.selleckchem.com/pr....oducts/epz015666.htm
The overall accuracy was 0.61, 0.60, 0.55, 0.53 for the two-input model, one-input model, radiologist 1, and radiologist 2, respectively. For differentiating pHCC from mHCC, the two-input model showed significantly higher specificity than radiologist 1 (0.68 [95% confidence interval 0.50-0.83] vs 0.45 [95% confidence interval 0.27-0.63]; p = 0.04). Our CNN model with tumor marker information showed feasibility and potential for three-class classification within primary liver cancer. Our CNN model with tumor marker information showed f
Like
Comment
Share
