Oncology | Radiology A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study. August 14, 2021
Oncology | Radiology MRF-RFS: A Modified Random Forest Recursive Feature Selection Algorithm for Nasopharyngeal Carcinoma Segmentation. February 22, 2021
Artificial Intelligence | Oncology | Radiology Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: a multicenter study. February 13, 2021
Pathology | Radiology A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study. January 6, 2021
Oncology | Radiology Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI. November 26, 2020
Medical Imaging | Radiation Oncology A Prognostic Predictive System Based on Deep Learning for Locoregionally Advanced Nasopharyngeal Carcinoma. September 24, 2020
Medical Imaging | Radiation Oncology Sequential and Iterative Auto-Segmentation of High-Risk Clinical Target Volume for Radiotherapy of Nasopharyngeal Carcinoma in Planning CT Images. August 14, 2020
Oncology | Radiology Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs. August 11, 2020
Oncology | Radiology MRI-Based Deep-Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma. August 10, 2020
Oncology | Radiology A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0. July 7, 2020
Oncology | Radiology Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images. July 2, 2020
Oncology | Radiology Automatic T Staging Using Weakly Supervised Deep Learning for Nasopharyngeal Carcinoma on MR Images. June 25, 2020