Oncology | Radiology Deep Learning-Based CT Imaging in the Diagnosis of Treatment Effect of Pulmonary Nodules and Radiofrequency Ablation. August 23, 2022
Radiology Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT. August 9, 2022
Oncology | Radiology Deep Learning Empowers Lung Cancer Screening Based on Mobile Low-Dose Computed Tomography in Resource-Constrained Sites. July 22, 2022
Radiology Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses. June 25, 2022
Pathology | Radiology DeepLN: A Multi-Task AI Tool to Predict the Imaging Characteristics, Malignancy and Pathological Subtypes in CT-Detected Pulmonary Nodules. June 1, 2022
Radiology The influence of a deep learning image reconstruction algorithm on the image quality and auto-analysis of pulmonary nodules at ultra-low dose chest CT: a phantom study. May 3, 2022
Pulmonology | Radiology How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules. April 12, 2022
Pathology | Radiology Models of Artificial Intelligence-Assisted Diagnosis of Lung Cancer Pathology Based on Deep Learning Algorithms. April 5, 2022
Nuclear Medicine | Oncology | Radiology Differentiation Between Malignant and Benign Pulmonary Nodules by Using Automated Three-Dimensional High-Resolution Representation Learning With Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography. April 4, 2022
Oncology | Radiology | Thoracic Surgery Total nodule number as an independent prognostic factor in resected stage III non-small cell lung cancer: a deep learning-powered study. March 14, 2022
Radiology Volumetric analysis of pulmonary nodules: reducing the discrepancy between the diameter-based volume calculation and voxel-counting method. March 14, 2022
Oncology | Pulmonology | Radiology Lung cancer risk prediction models based on pulmonary nodules: A systematic review. February 9, 2022