BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

358 related articles for article (PubMed ID: 29286609)

  • 1. 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]  

  • 2. Automatic Detection and Classification of Lung Nodules in CT Image Using Optimized Neuro Fuzzy Classifier with Cuckoo Search Algorithm.
    Manickavasagam R; Selvan S
    J Med Syst; 2019 Feb; 43(3):77. PubMed ID: 30758682
    [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 mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.
    Kar S; Majumder DD
    Int J Clin Oncol; 2017 Aug; 22(4):667-681. PubMed ID: 28321787
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Application of high-resolution CT images information in complicated infection of lung tumors.
    Liu S; Liu H; Li P; Jiang L
    J Infect Public Health; 2021 Mar; 14(3):418-422. PubMed ID: 31451402
    [TBL] [Abstract][Full Text] [Related]  

  • 9. New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy
    Ahmadi K; Karimi A; Fouladi Nia B
    Comput Math Methods Med; 2016; 2016():5237191. PubMed ID: 28044090
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification.
    Shiraishi J; Li Q; Suzuki K; Engelmann R; Doi K
    Med Phys; 2006 Jul; 33(7):2642-53. PubMed ID: 16898468
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Automatic segmentation and recognition of lungs and lesion from CT scans of thorax.
    Kakar M; Olsen DR
    Comput Med Imaging Graph; 2009 Jan; 33(1):72-82. PubMed ID: 19059759
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Automatic segmentation of colon in 3D CT images and removal of opacified fluid using cascade feed forward neural network.
    Gayathri Devi K; Radhakrishnan R
    Comput Math Methods Med; 2015; 2015():670739. PubMed ID: 25838838
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic lung tumor segmentation on PET/CT images using fuzzy Markov random field model.
    Guo Y; Feng Y; Sun J; Zhang N; Lin W; Sa Y; Wang P
    Comput Math Methods Med; 2014; 2014():401201. PubMed ID: 24987451
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT.
    Korfiatis P; Kalogeropoulou C; Karahaliou A; Kazantzi A; Skiadopoulos S; Costaridou L
    Med Phys; 2008 Dec; 35(12):5290-302. PubMed ID: 19175088
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.
    Lapuyade-Lahorgue J; Visvikis D; Pradier O; Cheze Le Rest C; Hatt M
    Med Phys; 2015 Oct; 42(10):5720-34. PubMed ID: 26429246
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [CT image segmentation based on automatic adaptive minimal fuzzy entropy measure].
    Gong G; Feng C; Zhang H; Zhu Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Apr; 25(2):304-8. PubMed ID: 18610611
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Vessel tree segmentation in presence of interstitial lung disease in MDCT.
    Korfiatis PD; Kalogeropoulou C; Karahaliou AN; Kazantzi AD; Costaridou LI
    IEEE Trans Inf Technol Biomed; 2011 Mar; 15(2):214-20. PubMed ID: 21317088
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.