Machine Learning | Oncology | Radiology Automatic segmentation of hepatocellular carcinoma on dynamic contrast-enhanced MRI based on deep learning. February 8, 2024
Oncology | Pulmonology | Radiology Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model. January 12, 2024
Neurology | Radiology Multicenter Study of the Utility of Convolutional Neural Network and Transformer Models for the Detection and Segmentation of Meningiomas. November 28, 2023
Neurosurgery | Oncology | Radiology The application of decision tree model based on clinicopathological risk factors and pre-operative MRI radiomics for predicting short-term recurrence of glioblastoma after total resection: a retrospective cohort study. September 11, 2023
Neurology | Oncology | Radiology Predicting peritumoral edema development after gamma knife radiosurgery of meningiomas using machine learning methods: a multicenter study. July 27, 2023
Neurosurgery | Oncology | Radiology A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR images. November 14, 2022
Neurology | Radiology Detecting the Early Infarct Core on Non-Contrast CT Images with a Deep Learning Residual Network. March 30, 2021
Neurology | Oncology | Radiology Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-Parametric Magnetic Resonance Imaging Based Convolutional Neural Network Model. March 11, 2021