ascopubs.org

Transformer-based deep learning model for integrated pathomics and radiomics in predicting postoperative survival of intrahepatic cholangiocarcinoma patients.

Hepatocellular carcinoma patients with portal vein thrombosis treated with robotic radiosurgery for long term outcome and analysis: CTRT:2022/01/050234. This is an ASCO Meeting Abstract from the 2025 ...
European Medical Journal

AI Model Boosts Pulmonary Nodule Diagnosis

AI improves pulmonary nodule diagnosis on CT scans, enhancing accuracy, consistency, and clinical decision-making in ...
EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
2UrbanGirls on MSN

Teaching machines to see: How AI is transforming computer vision and deep learning research

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...
EurekAlert!

New AI approach could improve railway fastener defect detection for smarter maintenance

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...