Oncology | Radiology | Surgery Machine Learning Combined with Radiomics Facilitating the Personal Treatment of Malignant Liver Tumors. January 23, 2024
Radiology Image Quality and Diagnostic Performance of Low-Dose Liver CT with Deep Learning Reconstruction versus Standard-Dose CT. January 17, 2024
Medical Imaging | Oncology | Radiology Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. December 12, 2023
Radiology A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet+. November 4, 2023
Oncology | Radiology Impact of deep learning image reconstruction algorithms on CT radiomic features in patients with liver tumors. April 24, 2023
Oncology | Radiology Computerized diagnosis of liver tumors from CT scans using a deep neural network approach. April 7, 2023
Artificial Intelligence | Oncology | Radiology USC-ENet: a high-efficiency model for the diagnosis of liver tumors combining B-mode ultrasound and clinical data. March 23, 2023
Oncology | Radiology A comparative study between deep learning and radiomics models in grading liver tumors using hepatobiliary phase contrast-enhanced MR images. December 14, 2022
Hepatology | Radiology Artificial intelligence models for the diagnosis and management of liver diseases. November 29, 2022
Radiology Contrast phase recognition in liver computer tomography using deep learning. November 26, 2022
Medical Imaging | Radiology | Surgery Flexible needle puncture path planning for liver tumors based on deep reinforcement learning. October 11, 2022
Oncology | Radiology Segmentation of liver tumors with abdominal computed tomography using fully convolutional networks. June 27, 2022