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.
120 related articles for article (PubMed ID: 27517049)
21. Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT. Paik DS; Beaulieu CF; Rubin GD; Acar B; Jeffrey RB; Yee J; Dey J; Napel S IEEE Trans Med Imaging; 2004 Jun; 23(6):661-75. PubMed ID: 15191141 [TBL] [Abstract][Full Text] [Related]
22. Usefulness of computer-aided diagnosis schemes for vertebral fractures and lung nodules on chest radiographs. Kasai S; Li F; Shiraishi J; Doi K AJR Am J Roentgenol; 2008 Jul; 191(1):260-5. PubMed ID: 18562756 [TBL] [Abstract][Full Text] [Related]
23. Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images. Jacobs C; van Rikxoort EM; Twellmann T; Scholten ET; de Jong PA; Kuhnigk JM; Oudkerk M; de Koning HJ; Prokop M; Schaefer-Prokop C; van Ginneken B Med Image Anal; 2014 Feb; 18(2):374-84. PubMed ID: 24434166 [TBL] [Abstract][Full Text] [Related]
24. A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database. Schilham AM; van Ginneken B; Loog M Med Image Anal; 2006 Apr; 10(2):247-58. PubMed ID: 16293441 [TBL] [Abstract][Full Text] [Related]
25. Modeling of the lung nodules for detection in LDCT scans. Farag A; Elhabian S; Graham J; Farag A; Elshazly S; Falk R; Mahdi H; Abdelmunim H; Al-Ghaafary S Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3618-21. PubMed ID: 21096845 [TBL] [Abstract][Full Text] [Related]
26. A novel approach to nodule feature optimization on thin section thoracic CT. Samala R; Moreno W; You Y; Qian W Acad Radiol; 2009 Apr; 16(4):418-27. PubMed ID: 19268853 [TBL] [Abstract][Full Text] [Related]
27. 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; 162():197-209. PubMed ID: 29903487 [TBL] [Abstract][Full Text] [Related]
28. Neural network ensemble-based computer-aided diagnosis for differentiation of lung nodules on CT images: clinical evaluation. Chen H; Xu Y; Ma Y; Ma B Acad Radiol; 2010 May; 17(5):595-602. PubMed ID: 20167513 [TBL] [Abstract][Full Text] [Related]
29. A fully automated method for lung nodule detection from postero-anterior chest radiographs. Campadelli P; Casiraghi E; Artioli D IEEE Trans Med Imaging; 2006 Dec; 25(12):1588-603. PubMed ID: 17167994 [TBL] [Abstract][Full Text] [Related]
30. 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]
31. [Computer-aided detection of small pulmonary nodules in multidetector spiral computed tomography (MSCT) in children]. Honnef D; Behrendt FF; Bakai A; Hohl C; Mahnken AH; Mertens R; Stanzel S; Günther RW; Das M Rofo; 2008 Jun; 180(6):540-6. PubMed ID: 18504665 [TBL] [Abstract][Full Text] [Related]
32. Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine. Madero Orozco H; Vergara Villegas OO; Cruz Sánchez VG; Ochoa Domínguez Hde J; Nandayapa Alfaro Mde J Biomed Eng Online; 2015 Feb; 14():9. PubMed ID: 25888834 [TBL] [Abstract][Full Text] [Related]
33. Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice. Liang CH; Liu YC; Wu MT; Garcia-Castro F; Alberich-Bayarri A; Wu FZ Clin Radiol; 2020 Jan; 75(1):38-45. PubMed ID: 31521323 [TBL] [Abstract][Full Text] [Related]
34. Fuzzy speed function based active contour model for segmentation of pulmonary nodules. Chen K; Li B; Tian LF; Zhu WB; Bao YH Biomed Mater Eng; 2014; 24(1):539-47. PubMed ID: 24211937 [TBL] [Abstract][Full Text] [Related]
35. An analysis of early studies released by the Lung Imaging Database Consortium (LIDC). Ross JC; Miller JV; Turner WD; Kelliher TP Acad Radiol; 2007 Nov; 14(11):1382-8. PubMed ID: 17964461 [TBL] [Abstract][Full Text] [Related]
36. Landmark detection in the chest and registration of lung surfaces with an application to nodule registration. Betke M; Hong H; Thomas D; Prince C; Ko JP Med Image Anal; 2003 Sep; 7(3):265-81. PubMed ID: 12946468 [TBL] [Abstract][Full Text] [Related]
37. Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. Gurcan MN; Sahiner B; Petrick N; Chan HP; Kazerooni EA; Cascade PN; Hadjiiski L Med Phys; 2002 Nov; 29(11):2552-8. PubMed ID: 12462722 [TBL] [Abstract][Full Text] [Related]
38. [Detection of Solitary Pulmonary Nodules Based on Geometric Features]. Chen S; Chao Y; Zou L Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Aug; 33(4):680-5. PubMed ID: 29714906 [TBL] [Abstract][Full Text] [Related]
39. A new method based on MTANNs for cutting down false-positives: an evaluation on different versions of commercial pulmonary nodule detection CAD software. Shi Z; Si C; Feng Y; He L; Suzuki K Biomed Mater Eng; 2014; 24(6):2839-46. PubMed ID: 25226989 [TBL] [Abstract][Full Text] [Related]
40. Efficacy of computer-aided detection system and thin-slab maximum intensity projection technique in the detection of pulmonary nodules in patients with resected metastases. Park EA; Goo JM; Lee JW; Kang CH; Lee HJ; Lee CH; Park CM; Lee HY; Im JG Invest Radiol; 2009 Feb; 44(2):105-13. PubMed ID: 19034026 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]