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252 related items for PubMed ID: 31441270
1. [Research progress on computed tomography image detection and classification of pulmonary nodule based on deep learning]. Wang J, Lin L, Zhao S, Wu X, Wu S. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Aug 25; 36(4):670-676. PubMed ID: 31441270 [Abstract] [Full Text] [Related]
2. Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research. Ferreira Junior JR, Oliveira MC, de Azevedo-Marques PM. J Digit Imaging; 2016 Dec 25; 29(6):716-729. PubMed ID: 27440183 [Abstract] [Full Text] [Related]
3. Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence. Ye W, Gu W, Guo X, Yi P, Meng Y, Han F, Yu L, Chen Y, Zhang G, Wang X. Biomed Eng Online; 2019 Jan 22; 18(1):6. PubMed ID: 30670024 [Abstract] [Full Text] [Related]
4. A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning. Gu Y, Chi J, Liu J, Yang L, Zhang B, Yu D, Zhao Y, Lu X. Comput Biol Med; 2021 Oct 22; 137():104806. PubMed ID: 34461501 [Abstract] [Full Text] [Related]
5. Improved lung nodule diagnosis accuracy using lung CT images with uncertain class. Wang Z, Xin J, Sun P, Lin Z, Yao Y, Gao X. Comput Methods Programs Biomed; 2018 Aug 22; 162():197-209. PubMed ID: 29903487 [Abstract] [Full Text] [Related]
6. Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning. Zhang S, Sun F, Wang N, Zhang C, Yu Q, Zhang M, Babyn P, Zhong H. J Digit Imaging; 2019 Dec 22; 32(6):995-1007. PubMed ID: 31044393 [Abstract] [Full Text] [Related]
7. Robust explanation supervision for false positive reduction in pulmonary nodule detection. Zhao Q, Chang CW, Yang X, Zhao L. Med Phys; 2024 Mar 22; 51(3):1687-1701. PubMed ID: 38224306 [Abstract] [Full Text] [Related]
8. Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss. Tran GS, Nghiem TP, Nguyen VT, Luong CM, Burie JC. J Healthc Eng; 2019 Mar 22; 2019():5156416. PubMed ID: 30863524 [Abstract] [Full Text] [Related]
11. Research progress of computer aided diagnosis system for pulmonary nodules in CT images. Wang Y, Wu B, Zhang N, Liu J, Ren F, Zhao L. J Xray Sci Technol; 2020 Mar 22; 28(1):1-16. PubMed ID: 31815727 [Abstract] [Full Text] [Related]
13. [Deep Learning-driven Pulmonary Nodule Detection from CT Images: Challenges, Current Status and Future Directions]. Tan S, Zhang T, Zu J, Deng Y, Wu X, Wei J, Yan X. Zhongguo Yi Liao Qi Xie Za Zhi; 2023 Feb 08; 47(2):163-172. PubMed ID: 37096470 [Abstract] [Full Text] [Related]
18. Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population. Murchison JT, Ritchie G, Senyszak D, Nijwening JH, van Veenendaal G, Wakkie J, van Beek EJR. PLoS One; 2022 Feb 08; 17(5):e0266799. PubMed ID: 35511758 [Abstract] [Full Text] [Related]
19. Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning. Zhao X, Qi S, Zhang B, Ma H, Qian W, Yao Y, Sun J. J Xray Sci Technol; 2019 Feb 08; 27(4):615-629. PubMed ID: 31227682 [Abstract] [Full Text] [Related]
20. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Armato SG, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR, Reeves AP, Zhao B, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, Van Beeke EJ, Yankelevitz D, Biancardi AM, Bland PH, Brown MS, Engelmann RM, Laderach GE, Max D, Pais RC, Qing DP, Roberts RY, Smith AR, Starkey A, Batrah P, Caligiuri P, Farooqi A, Gladish GW, Jude CM, Munden RF, Petkovska I, Quint LE, Schwartz LH, Sundaram B, Dodd LE, Fenimore C, Gur D, Petrick N, Freymann J, Kirby J, Hughes B, Casteele AV, Gupte S, Sallamm M, Heath MD, Kuhn MH, Dharaiya E, Burns R, Fryd DS, Salganicoff M, Anand V, Shreter U, Vastagh S, Croft BY. Med Phys; 2011 Feb 08; 38(2):915-31. PubMed ID: 21452728 [Abstract] [Full Text] [Related] Page: [Next] [New Search]