These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
163 related articles for article (PubMed ID: 38415154)
1. Usefulness of longitudinal nodule-matching algorithm in computer-aided diagnosis of new pulmonary metastases on cancer surveillance CT scans. Yoon SH; Oh DY; Kim HJ; Jang S; Kim M; Kim J; Lee KW; Lee KJ; Kim J Quant Imaging Med Surg; 2024 Feb; 14(2):1493-1506. PubMed ID: 38415154 [TBL] [Abstract][Full Text] [Related]
2. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. Cui X; Zheng S; Heuvelmans MA; Du Y; Sidorenkov G; Fan S; Li Y; Xie Y; Zhu Z; Dorrius MD; Zhao Y; Veldhuis RNJ; de Bock GH; Oudkerk M; van Ooijen PMA; Vliegenthart R; Ye Z Eur J Radiol; 2022 Jan; 146():110068. PubMed ID: 34871936 [TBL] [Abstract][Full Text] [Related]
3. 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; 17(5):e0266799. PubMed ID: 35511758 [TBL] [Abstract][Full Text] [Related]
4. Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists. Li L; Liu Z; Huang H; Lin M; Luo D Thorac Cancer; 2019 Feb; 10(2):183-192. PubMed ID: 30536611 [TBL] [Abstract][Full Text] [Related]
5. Performance of computer-aided detection of pulmonary nodules in low-dose CT: comparison with double reading by nodule volume. Zhao Y; de Bock GH; Vliegenthart R; van Klaveren RJ; Wang Y; Bogoni L; de Jong PA; Mali WP; van Ooijen PM; Oudkerk M Eur Radiol; 2012 Oct; 22(10):2076-84. PubMed ID: 22814824 [TBL] [Abstract][Full Text] [Related]
6. Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models. Cascio D; Magro R; Fauci F; Iacomi M; Raso G Comput Biol Med; 2012 Nov; 42(11):1098-109. PubMed ID: 23020972 [TBL] [Abstract][Full Text] [Related]
7. Role of Computer Aided Diagnosis (CAD) in the detection of pulmonary nodules on 64 row multi detector computed tomography. Prakashini K; Babu S; Rajgopal KV; Kokila KR Lung India; 2016; 33(4):391-7. PubMed ID: 27578931 [TBL] [Abstract][Full Text] [Related]
9. The effect of pulmonary vessel suppression on computerized detection of nodules in chest CT scans. Gu X; Xie W; Fang Q; Zhao J; Li Q Med Phys; 2020 Oct; 47(10):4917-4927. PubMed ID: 32681587 [TBL] [Abstract][Full Text] [Related]
10. Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography. Kozuka T; Matsukubo Y; Kadoba T; Oda T; Suzuki A; Hyodo T; Im S; Kaida H; Yagyu Y; Tsurusaki M; Matsuki M; Ishii K Jpn J Radiol; 2020 Nov; 38(11):1052-1061. PubMed ID: 32592003 [TBL] [Abstract][Full Text] [Related]
11. A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies. Vassallo L; Traverso A; Agnello M; Bracco C; Campanella D; Chiara G; Fantacci ME; Lopez Torres E; Manca A; Saletta M; Giannini V; Mazzetti S; Stasi M; Cerello P; Regge D Eur Radiol; 2019 Jan; 29(1):144-152. PubMed ID: 29948089 [TBL] [Abstract][Full Text] [Related]
12. Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital. Martins Jarnalo CO; Linsen PVM; BlazĂs SP; van der Valk PHM; Dickerscheid DBM Clin Radiol; 2021 Nov; 76(11):838-845. PubMed ID: 34404517 [TBL] [Abstract][Full Text] [Related]
13. Computer-aided detection in screening CT for pulmonary nodules. Yuan R; Vos PM; Cooperberg PL AJR Am J Roentgenol; 2006 May; 186(5):1280-7. PubMed ID: 16632719 [TBL] [Abstract][Full Text] [Related]
14. Usefulness of the CAD system for detecting pulmonary nodule in real clinical practice. Song KD; Chung MJ; Kim HC; Jeong SY; Lee KS Korean J Radiol; 2011; 12(2):163-8. PubMed ID: 21430932 [TBL] [Abstract][Full Text] [Related]
15. Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. Zheng S; Cui X; Vonder M; Veldhuis RNJ; Ye Z; Vliegenthart R; Oudkerk M; van Ooijen PMA Comput Methods Programs Biomed; 2020 Nov; 196():105620. PubMed ID: 32615493 [TBL] [Abstract][Full Text] [Related]
16. Automatic detection of multisize pulmonary nodules in CT images: Large-scale validation of the false-positive reduction step. Gupta A; Saar T; Martens O; Moullec YL Med Phys; 2018 Mar; 45(3):1135-1149. PubMed ID: 29359462 [TBL] [Abstract][Full Text] [Related]
17. Application value of a computer-aided diagnosis and management system for the detection of lung nodules. Chen J; Cao R; Jiao S; Dong Y; Wang Z; Zhu H; Luo Q; Zhang L; Wang H; Yin X Quant Imaging Med Surg; 2023 Oct; 13(10):6929-6941. PubMed ID: 37869302 [TBL] [Abstract][Full Text] [Related]
18. Estimation of malignancy of pulmonary nodules at CT scans: Effect of computer-aided diagnosis on diagnostic performance of radiologists. Liu J; Zhao L; Han X; Ji H; Liu L; He W Asia Pac J Clin Oncol; 2021 Jun; 17(3):216-221. PubMed ID: 32757455 [TBL] [Abstract][Full Text] [Related]
19. Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size. Sahiner B; Chan HP; Hadjiiski LM; Cascade PN; Kazerooni EA; Chughtai AR; Poopat C; Song T; Frank L; Stojanovska J; Attili A Acad Radiol; 2009 Dec; 16(12):1518-30. PubMed ID: 19896069 [TBL] [Abstract][Full Text] [Related]
20. Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database. Jacobs C; van Rikxoort EM; Murphy K; Prokop M; Schaefer-Prokop CM; van Ginneken B Eur Radiol; 2016 Jul; 26(7):2139-47. PubMed ID: 26443601 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]