LungCT3 Armato, Samuel et al., 2011, The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans # Summary #1. Purpose: To develop computer-aided diagnostic (CAD) methods for lung nodule detection, classification, and quantitative assessment, they established the Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI) to complete the database.2. Methods: The LIDC/IDRI Database contains 1018 cases, each consisting of images from a clinical thoracic CT scan and an a.. 2025. 2. 27. [JR3] Vuno Published Journal Papers in Lung CT A.I. Journal Review in 3 lines: Vuno Published Journal Papers in Lung CT A.I. [Since 2023] 1. Park, Doohyun, et al. "Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias." Scientific Reports 13.1 (2023): 13420. [Since 2022] 2. Park, Sohee, et al. "Application of computer-aided diagnosis for Lung-RADS categorization in .. 2024. 3. 30. [JR3] Deep Learning for Lung CT Slice Thickness Reduction Journal Review in 3 lines: Deep Learning for Lung CT Slice Thickness Reduction [Since 2020] 1. Hamabuchi, Nayu, et al. "Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images." Japanese journal of radiology 41.12 (2023): 1373-1388. 2. Wu, Shuqiong, et al. "Computed Tomography slice interpolation in the longitudinal direction based on deep lear.. 2023. 11. 24. 이전 1 다음
