Radiology Predicting the Prognosis of HIFU Ablation of Uterine Fibroids Using a Deep Learning-Based 3D Super-Resolution DWI Radiomics Model: A Multicenter Study. July 5, 2024
Oncology | Radiology Integrating intratumoral and peritumoral radiomics with deep transfer learning for DCE-MRI breast lesion differentiation: A multicenter study comparing performance with radiologists. June 14, 2024
Neurology | Radiology A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study. March 22, 2024
Oncology | Pulmonology | Radiology Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma. March 21, 2024
Oncology | Radiology | Urology A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study. February 13, 2024
Oncology | Radiology | Urology Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer. February 2, 2024
Oncology | Otolaryngology | Radiology A Combined Model Integrating Radiomics and Deep Learning Based on Contrast-Enhanced CT for Preoperative Staging of Laryngeal Carcinoma. September 30, 2023
Radiology Deep learning-assisted diagnosis of benign and malignant parotid tumors based on contrast-enhanced CT: a multicenter study. April 17, 2023
Gynecology | Oncology | Radiology DARU-Net: A dual attention residual U-Net for uterine fibroids segmentation on MRI. March 30, 2023
Cardiology A multi-scale and multi-domain heart sound feature-based machine learning model for ACC/AHA heart failure stage classification. July 5, 2022
Gynecology | Oncology | Radiology Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas. May 18, 2022
Radiology Influence of CT effective dose and convolution kernel on the detection of pulmonary nodules in different artificial intelligence software systems: A phantom study. March 8, 2020