Pulmonology | Radiology Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation. March 27, 2024
Artificial Intelligence | Radiology Preparing CT imaging datasets for deep learning in lung nodule analysis: Insights from four well-known datasets. July 24, 2023
Pulmonology | Radiology Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction. April 18, 2023
Radiology Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification. August 26, 2022
Pulmonology | Radiology Innovations in thoracic imaging: CT, radiomics, AI and x-ray velocimetry. August 15, 2022
Pulmonology | Radiology COPD identification and grading based on deep learning of lung parenchyma and bronchial wall in chest CT images. February 10, 2022
Oncology | Pulmonology | Radiology Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT. January 18, 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
Radiology Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks. April 13, 2021
Oncology | Radiology Latest CT technologies in lung cancer screening: protocols and radiation dose reduction. March 15, 2021
Pulmonology | Radiology Evaluation of a novel deep learning-based classifier for perifissural nodules. December 3, 2020
Radiology Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. July 2, 2020