Radiology LDCT image biomarkers that matter most for the deep learning classification of indeterminate pulmonary nodules. June 7, 2024
Medical Imaging | Oncology | Radiology A two-stage deep-learning framework for CT denoising based on a clinically structure-unaligned paired data set. January 15, 2024
Genetics | Oncology | Radiology A novel multimodal prediction model based on DNA methylation biomarkers and low-dose computed tomography images for identifying early-stage lung cancer. November 16, 2023
Osteoporosis Screening | Radiology Automated vertebral bone mineral density measurement with phantomless internal calibration in chest LDCT scans using deep learning. September 26, 2023
Radiology A densely connected LDCT image denoising network based on dual-edge extraction and multi-scale attention under compound loss. September 24, 2023
Radiology Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising. September 10, 2022
Radiology Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. December 6, 2021
Oncology | Radiology Automatic segmentation of pulmonary lobes on low-dose computed tomography using deep learning. March 12, 2021