Nov 8, 2023 · Potentially cancerous abnormalities were identified in 3.0% of reports; these included nodules (59.1%), masses (25.7%) and other abnormalities such as lung ...

Apr 5, 2024 · A groundbreaking study highlighted the ability of AI algorithms to support radiologists in diagnosing pulmonary nodules during LC screening. This study utilized ...

5 days ago · The accurate categorization of lung nodules in CT scans is an essential aspect in the prompt detection and diagnosis of lung cancer.

Sep 13, 2024 · Based on the radiologist pixel annotations, the authors extracted samples of nodules to train their networks.

Sep 25, 2024 · A systematic review of CE-marked, AI-based software for automated detection and analysis of nodules in CT lung cancer screening was conducted.

May 1, 2024 · The purpose of this study is to evaluate radiologists' performance in detecting actionable nodules on chest CT when aided by a pulmonary vessel image– ...

Jan 13, 2024 · We developed a visualizable 3D classification model trained with in-house CT dataset for the nodule malignancy classification task.

Feb 1, 2024 · Advances in CT and PET have improved characterization of nodules, helping to differentiate benign from malignant lesions noninvasively.

Sep 8, 2024 · PDF | We present a hybrid algorithm to estimate lung nodule malignancy that combines imaging biomarkers from Radiologist's annotation with image.