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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 12031604)

  • 1. An automatic microcalcification detection system based on a hybrid neural network classifier.
    Papadopoulos A; Fotiadis DI; Likas A
    Artif Intell Med; 2002 Jun; 25(2):149-67. PubMed ID: 12031604
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines.
    Papadopoulos A; Fotiadis DI; Likas A
    Artif Intell Med; 2005 Jun; 34(2):141-50. PubMed ID: 15894178
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms.
    Zhang W; Doi K; Giger ML; Nishikawa RM; Schmidt RA
    Med Phys; 1996 Apr; 23(4):595-601. PubMed ID: 8860907
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computer-aided detection of mammographic microcalcifications: pattern recognition with an artificial neural network.
    Chan HP; Lo SC; Sahiner B; Lam KL; Helvie MA
    Med Phys; 1995 Oct; 22(10):1555-67. PubMed ID: 8551980
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network.
    Zhang W; Doi K; Giger ML; Wu Y; Nishikawa RM; Schmidt RA
    Med Phys; 1994 Apr; 21(4):517-24. PubMed ID: 8058017
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer aided detection of clusters of microcalcifications on full field digital mammograms.
    Ge J; Sahiner B; Hadjiiski LM; Chan HP; Wei J; Helvie MA; Zhou C
    Med Phys; 2006 Aug; 33(8):2975-88. PubMed ID: 16964876
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A swarm optimized neural network system for classification of microcalcification in mammograms.
    Dheeba J; Selvi ST
    J Med Syst; 2012 Oct; 36(5):3051-61. PubMed ID: 21947904
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computerized evaluation of mammographic lesions: what diagnostic role does the shape of the individual microcalcifications play compared with the geometry of the cluster?
    Leichter I; Lederman R; Buchbinder SS; Bamberger P; Novak B; Fields S
    AJR Am J Roentgenol; 2004 Mar; 182(3):705-12. PubMed ID: 14975973
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computerized classification of malignant and benign microcalcifications on mammograms: texture analysis using an artificial neural network.
    Chan HP; Sahiner B; Petrick N; Helvie MA; Lam KL; Adler DD; Goodsitt MM
    Phys Med Biol; 1997 Mar; 42(3):549-67. PubMed ID: 9080535
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Parameter optimization of a computer-aided diagnosis scheme for the segmentation of microcalcification clusters in mammograms.
    Gavrielides MA; Lo JY; Floyd CE
    Med Phys; 2002 Apr; 29(4):475-83. PubMed ID: 11998828
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Reducing false positives of microcalcification detection systems by removal of breast arterial calcifications.
    Mordang JJ; Gubern-Mérida A; den Heeten G; Karssemeijer N
    Med Phys; 2016 Apr; 43(4):1676. PubMed ID: 27036566
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces.
    Chan HP; Sahiner B; Lam KL; Petrick N; Helvie MA; Goodsitt MM; Adler DD
    Med Phys; 1998 Oct; 25(10):2007-19. PubMed ID: 9800710
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films.
    Yu S; Guan L
    IEEE Trans Med Imaging; 2000 Feb; 19(2):115-26. PubMed ID: 10784283
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Topological modeling and classification of mammographic microcalcification clusters.
    Chen Z; Strange H; Oliver A; Denton ER; Boggis C; Zwiggelaar R
    IEEE Trans Biomed Eng; 2015 Apr; 62(4):1203-14. PubMed ID: 25546849
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network.
    Rehman KU; Li J; Pei Y; Yasin A; Ali S; Mahmood T
    Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300597
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Novel Cascade Classifier for Automatic Microcalcification Detection.
    Shin SY; Lee S; Yun ID; Jung HY; Heo YS; Kim SM; Lee KM
    PLoS One; 2015; 10(12):e0143725. PubMed ID: 26630496
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classification of microcalcifications in radiographs of pathologic specimens for the diagnosis of breast cancer.
    Wu YC; Freedman MT; Hasegawa A; Zuurbier RA; Lo SC; Mun SK
    Acad Radiol; 1995 Mar; 2(3):199-204. PubMed ID: 9419548
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Optimizing parameters for computer-aided diagnosis of microcalcifications at mammography.
    Leichter I; Lederman R; Buchbinder S; Bamberger P; Novak B; Fields S
    Acad Radiol; 2000 Jun; 7(6):406-12. PubMed ID: 10845399
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated Detection and Classification of Microcalcification Clusters with Enhanced Preprocessing and Fractal Analysis.
    Gowri V; Valluvan KR; Chamundeeswari VV
    Asian Pac J Cancer Prev; 2018 Nov; 19(11):3093-3098. PubMed ID: 30486547
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel method for breast cancer prognosis using wavelet packet based neural network.
    H Jamarani S; Rezai-Rad G; Behnam H
    Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():3414-7. PubMed ID: 17280956
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.