140 related articles for article (PubMed ID: 30974031)
1. Lungs nodule detection framework from computed tomography images using support vector machine.
Khan SA; Nazir M; Khan MA; Saba T; Javed K; Rehman A; Akram T; Awais M
Microsc Res Tech; 2019 Aug; 82(8):1256-1266. PubMed ID: 30974031
[TBL] [Abstract][Full Text] [Related]
2. Effective and Reliable Framework for Lung Nodules Detection from CT Scan Images.
Khan SA; Hussain S; Yang S; Iqbal K
Sci Rep; 2019 Mar; 9(1):4989. PubMed ID: 30899052
[TBL] [Abstract][Full Text] [Related]
3. Fully automatic detection of lung nodules in CT images using a hybrid feature set.
Shaukat F; Raja G; Gooya A; Frangi AF
Med Phys; 2017 Jul; 44(7):3615-3629. PubMed ID: 28409834
[TBL] [Abstract][Full Text] [Related]
4. Multistage segmentation model and SVM-ensemble for precise lung nodule detection.
Naqi SM; Sharif M; Yasmin M
Int J Comput Assist Radiol Surg; 2018 Jul; 13(7):1083-1095. PubMed ID: 29492880
[TBL] [Abstract][Full Text] [Related]
5. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery.
Messay T; Hardie RC; Rogers SK
Med Image Anal; 2010 Jun; 14(3):390-406. PubMed ID: 20346728
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques.
Kavitha MS; Shanthini J; Sabitha R
J Med Syst; 2019 Feb; 43(3):73. PubMed ID: 30746555
[TBL] [Abstract][Full Text] [Related]
8. A novel computer-aided lung nodule detection system for CT images.
Tan M; Deklerck R; Jansen B; Bister M; Cornelis J
Med Phys; 2011 Oct; 38(10):5630-45. PubMed ID: 21992380
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images.
Liu JK; Jiang HY; Gao MD; He CG; Wang Y; Wang P; Ma H; Li Y
J Med Syst; 2017 Feb; 41(2):30. PubMed ID: 28032305
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours.
Way TW; Hadjiiski LM; Sahiner B; Chan HP; Cascade PN; Kazerooni EA; Bogot N; Zhou C
Med Phys; 2006 Jul; 33(7):2323-37. PubMed ID: 16898434
[TBL] [Abstract][Full Text] [Related]
14. A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: comparison to a Bayesian classifier.
Chang Y; Lim J; Kim N; Seo JB; Lynch DA
Med Phys; 2013 May; 40(5):051912. PubMed ID: 23635282
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided detection of lung nodules using outer surface features.
Demir Ö; Yılmaz Çamurcu A
Biomed Mater Eng; 2015; 26 Suppl 1():S1213-22. PubMed ID: 26405880
[TBL] [Abstract][Full Text] [Related]
16. Shape-based computer-aided detection of lung nodules in thoracic CT images.
Ye X; Lin X; Dehmeshki J; Slabaugh G; Beddoe G
IEEE Trans Biomed Eng; 2009 Jul; 56(7):1810-20. PubMed ID: 19527950
[TBL] [Abstract][Full Text] [Related]
17. Fast and adaptive detection of pulmonary nodules in thoracic CT images using a hierarchical vector quantization scheme.
Han H; Li L; Han F; Song B; Moore W; Liang Z
IEEE J Biomed Health Inform; 2015 Mar; 19(2):648-59. PubMed ID: 25486657
[TBL] [Abstract][Full Text] [Related]
18. A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics.
Kaya A; Can AB
J Biomed Inform; 2015 Aug; 56():69-79. PubMed ID: 26008877
[TBL] [Abstract][Full Text] [Related]
19. False positive reduction in pulmonary nodule classification using 3D texture and edge feature in CT images.
Wang B; Si S; Zhao H; Zhu H; Dou S
Technol Health Care; 2021; 29(6):1071-1088. PubMed ID: 30664518
[TBL] [Abstract][Full Text] [Related]
20. A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images.
Dhara AK; Mukhopadhyay S; Dutta A; Garg M; Khandelwal N
J Digit Imaging; 2016 Aug; 29(4):466-75. PubMed ID: 26738871
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]