167 related articles for article (PubMed ID: 28582923)
1. A novel lung cancer detection algorithm for CADs based on SSP and Level Set.
Zhu H; Pak CH; Song C; Dou S; Zhao H; Cao P; Ye X
Technol Health Care; 2017 Jul; 25(S1):345-355. PubMed ID: 28582923
[TBL] [Abstract][Full Text] [Related]
2. A Segmentation Framework of Pulmonary Nodules in Lung CT Images.
Mukhopadhyay S
J Digit Imaging; 2016 Feb; 29(1):86-103. PubMed ID: 26055544
[TBL] [Abstract][Full Text] [Related]
3. Research on a pulmonary nodule segmentation method combining fast self-adaptive FCM and classification.
Liu H; Zhang CM; Su ZY; Wang K; Deng K
Comput Math Methods Med; 2015; 2015():185726. PubMed ID: 25945120
[TBL] [Abstract][Full Text] [Related]
4. A novel lung nodules detection scheme based on vessel segmentation on CT images.
Jia T; Zhang H; Meng H
Biomed Mater Eng; 2014; 24(6):3179-86. PubMed ID: 25227026
[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. Three-dimensional lung nodule segmentation and shape variance analysis to detect lung cancer with reduced false positives.
Krishnamurthy S; Narasimhan G; Rengasamy U
Proc Inst Mech Eng H; 2016 Jan; 230(1):58-70. PubMed ID: 26721427
[TBL] [Abstract][Full Text] [Related]
7. Multi-level ground glass nodule detection and segmentation in CT lung images.
Tao Y; Lu L; Dewan M; Chen AY; Corso J; Xuan J; Salganicoff M; Krishnan A
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):715-23. PubMed ID: 20426175
[TBL] [Abstract][Full Text] [Related]
8. Potential lung nodules identification for characterization by variable multistep threshold and shape indices from CT images.
Iqbal S; Iqbal K; Arif F; Shaukat A; Khanum A
Comput Math Methods Med; 2014; 2014():241647. PubMed ID: 25506388
[TBL] [Abstract][Full Text] [Related]
9. Rapid Retrieval of Lung Nodule CT Images Based on Hashing and Pruning Methods.
Pan L; Qiang Y; Yuan J; Wu L
Biomed Res Int; 2016; 2016():3162649. PubMed ID: 27995140
[TBL] [Abstract][Full Text] [Related]
10. An adaptive pulmonary nodule detection algorithm.
Cao K; Meng G; Wang Z; Liu Y; Liu H; Sun L
J Xray Sci Technol; 2020; 28(3):427-447. PubMed ID: 32333576
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Ant colony optimization approaches to clustering of lung nodules from CT images.
Gopalakrishnan RC; Kuppusamy V
Comput Math Methods Med; 2014; 2014():572494. PubMed ID: 25525455
[TBL] [Abstract][Full Text] [Related]
14. Lung Lesion Detection in CT Scan Images Using the Fuzzy Local Information Cluster Means (FLICM) Automatic Segmentation Algorithm and Back Propagation Network Classification.
Lavanya M; Kannan PM
Asian Pac J Cancer Prev; 2017 Dec; 18(12):3395-3399. PubMed ID: 29286609
[TBL] [Abstract][Full Text] [Related]
15. Automated detection of lung nodules in CT images using shape-based genetic algorithm.
Dehmeshki J; Ye X; Lin X; Valdivieso M; Amin H
Comput Med Imaging Graph; 2007 Sep; 31(6):408-17. PubMed ID: 17524617
[TBL] [Abstract][Full Text] [Related]
16. A Solitary Feature-Based Lung Nodule Detection Approach for Chest X-Ray Radiographs.
Li X; Shen L; Luo S
IEEE J Biomed Health Inform; 2018 Mar; 22(2):516-524. PubMed ID: 28166511
[TBL] [Abstract][Full Text] [Related]
17. Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.
Messay T; Hardie RC; Tuinstra TR
Med Image Anal; 2015 May; 22(1):48-62. PubMed ID: 25791434
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm.
Armato SG; Altman MB; La Rivière PJ
Med Phys; 2003 Mar; 30(3):461-72. PubMed ID: 12674248
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]