BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

300 related articles for article (PubMed ID: 27847817)

  • 1. Automatic Detection of Pectoral Muscle Region for Computer-Aided Diagnosis Using MIAS Mammograms.
    Yoon WB; Oh JE; Chae EY; Kim HH; Lee SY; Kim KG
    Biomed Res Int; 2016; 2016():5967580. PubMed ID: 27847817
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic pectoral muscle segmentation on mediolateral oblique view mammograms.
    Kwok SM; Chandrasekhar R; Attikiouzel Y; Rickard MT
    IEEE Trans Med Imaging; 2004 Sep; 23(9):1129-40. PubMed ID: 15377122
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms.
    Yin K; Yan S; Song C; Zheng B
    Int J Comput Assist Radiol Surg; 2019 Feb; 14(2):237-248. PubMed ID: 30288698
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detection and Segmentation of Pectoral Muscle on MLO-View Mammogram Using Enhancement Filter.
    Vikhe PS; Thool VR
    J Med Syst; 2017 Oct; 41(12):190. PubMed ID: 29071592
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pectoral muscle segmentation: a review.
    Ganesan K; Acharya UR; Chua KC; Min LC; Abraham KT
    Comput Methods Programs Biomed; 2013 Apr; 110(1):48-57. PubMed ID: 23270962
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views.
    Taghanaki SA; Liu Y; Miles B; Hamarneh G
    IEEE Trans Biomed Eng; 2017 Nov; 64(11):2662-2671. PubMed ID: 28129144
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Robust Automatic Pectoral Muscle Segmentation from Mammograms Using Texture Gradient and Euclidean Distance Regression.
    Bora VB; Kothari AG; Keskar AG
    J Digit Imaging; 2016 Feb; 29(1):115-25. PubMed ID: 26259521
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Pectoral Muscle Region Segmentation in Mammograms Using Genetic Algorithm and Morphological Selection.
    Shen R; Yan K; Xiao F; Chang J; Jiang C; Zhou K
    J Digit Imaging; 2018 Oct; 31(5):680-691. PubMed ID: 29582242
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic identification of the pectoral muscle in mammograms.
    Ferrari RJ; Rangayyan RM; Desautels JE; Borges RA; Frère AF
    IEEE Trans Med Imaging; 2004 Feb; 23(2):232-45. PubMed ID: 14964567
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Influence of using manual or automatic breast density information in a mass detection CAD system.
    Oliver A; Lladó X; Freixenet J; Martí R; Pérez E; Pont J; Zwiggelaar R
    Acad Radiol; 2010 Jul; 17(7):877-83. PubMed ID: 20540910
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pectoral muscle identification in mammograms.
    Camilus KS; Govindan VK; Sathidevi PS
    J Appl Clin Med Phys; 2011 Mar; 12(3):3285. PubMed ID: 21844845
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computer-aided identification of the pectoral muscle in digitized mammograms.
    Camilus KS; Govindan VK; Sathidevi PS
    J Digit Imaging; 2010 Oct; 23(5):562-80. PubMed ID: 19816741
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mammography image quality: model for predicting compliance with posterior nipple line criterion.
    Spuur K; Hung WT; Poulos A; Rickard M
    Eur J Radiol; 2011 Dec; 80(3):713-8. PubMed ID: 20621431
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.
    Ma X; Wei J; Zhou C; Helvie MA; Chan HP; Hadjiiski LM; Lu Y
    Med Phys; 2019 May; 46(5):2103-2114. PubMed ID: 30771257
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic extraction of pectoral muscle in the MLO view of mammograms.
    Feudjio CK; Klein J; Tiedeu A; Colot O
    Phys Med Biol; 2013 Dec; 58(23):8493-515. PubMed ID: 24240510
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic detection of pectoral muscle using average gradient and shape based feature.
    Chakraborty J; Mukhopadhyay S; Singla V; Khandelwal N; Bhattacharyya P
    J Digit Imaging; 2012 Jun; 25(3):387-99. PubMed ID: 22006275
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Technique for preprocessing of digital mammogram.
    Maitra IK; Nag S; Bandyopadhyay SK
    Comput Methods Programs Biomed; 2012 Aug; 107(2):175-88. PubMed ID: 21669471
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.
    Rampun A; López-Linares K; Morrow PJ; Scotney BW; Wang H; Ocaña IG; Maclair G; Zwiggelaar R; González Ballester MA; Macía I
    Med Image Anal; 2019 Oct; 57():1-17. PubMed ID: 31254729
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs.
    Domingues I; Cardoso JS; Amaral I; Moreira I; Passarinho P; Santa Comba J; Correia R; Cardoso MJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3158-61. PubMed ID: 21096595
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computer Aided Detection of Clustered Microcalcification: A Survey.
    Kumar MNA; Kumar MNA; Sheshadri HS
    Curr Med Imaging Rev; 2019; 15(2):132-149. PubMed ID: 31975660
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.