Search Results - "Rangayyan, Rangaraj M"

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  1. 1

    Gabor filters and phase portraits for the detection of architectural distortion in mammograms by Rangayyan, Rangaraj M, Ayres, Fábio J

    “…Architectural distortion is a subtle abnormality in mammograms, and a source of overlooking errors by radiologists. Computer-aided diagnosis (CAD) techniques…”
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  2. 2

    Computer-Aided Detection of Architectural Distortion in Prior Mammograms of Interval Cancer by Rangayyan, Rangaraj M., Banik, Shantanu, Desautels, J. E. Leo

    Published in Journal of digital imaging (01-10-2010)
    “…Architectural distortion is an important sign of breast cancer, but because of its subtlety, it is a common cause of false-negative findings on screening…”
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  3. 3

    Review of recent advances in segmentation of the breast boundary and the pectoral muscle in mammograms by Mustra, Mario, Grgic, Mislav, Rangayyan, Rangaraj M.

    “…This paper presents a review of recent advances in the development of methods for segmentation of the breast boundary and the pectoral muscle in mammograms…”
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  4. 4

    Measures of divergence of oriented patterns for the detection of architectural distortion in prior mammograms by Rangayyan, Rangaraj M., Banik, Shantanu, Chakraborty, Jayasree, Mukhopadhyay, Sudipta, Desautels, J. E. Leo

    “…Purpose We propose a method for the detection of architectural distortion in prior mammograms of interval-cancer cases based on the expected orientation of…”
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  5. 5

    Analysis of Structural Similarity in Mammograms for Detection of Bilateral Asymmetry by Casti, Paola, Mencattini, Arianna, Salmeri, Marcello, Rangayyan, Rangaraj M.

    Published in IEEE transactions on medical imaging (01-02-2015)
    “…We hypothesize that quantification of structural similarity or dissimilarity between paired mammographic regions can be effective in detecting asymmetric signs…”
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  6. 6

    Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances by Jinshan Tang, Rangayyan, R.M., Jun Xu, El Naqa, I., Yongyi Yang

    “…Breast cancer is the second-most common and leading cause of cancer death among women. It has become a major health issue in the world over the past 50 years,…”
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  7. 7

    Automatic Delineation of the Diaphragm in Computed Tomographic Images by Rangayyan, Rangaraj M., Vu, Randy H., Boag, Graham S.

    Published in Journal of digital imaging (01-10-2008)
    “…Segmentation of the internal organs in medical images is a difficult task. By incorporating a priori information regarding specific organs of interest, results…”
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  8. 8

    Analysis of Vibroarthrographic Signals with Features Related to Signal Variability and Radial-Basis Functions by Rangayyan, Rangaraj M, Wu, Yunfeng

    Published in Annals of biomedical engineering (2009)
    “…Knee-joint sounds or vibroarthrographic (VAG) signals contain diagnostic information related to the roughness, softening, breakdown, or the state of…”
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  9. 9

    Computer-aided diagnosis of plus disease via measurement of vessel thickness in retinal fundus images of preterm infants by Oloumi, Faraz, Rangayyan, Rangaraj M, Casti, Paola, Ells, Anna L

    Published in Computers in biology and medicine (01-11-2015)
    “…Abstract Changes in the characteristics of retinal vessels such as width and tortuosity can be signs of the presence of several diseases such retinopathy of…”
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  10. 10

    Computer-Aided Detection of Mammographic Masses Using Hybrid Region Growing Controlled by Multilevel Thresholding by Chakraborty, Jayasree, Midya, Abhishek, Mukhopadhyay, Sudipta, Rangayyan, Rangaraj M., Sadhu, Anup, Singla, Veenu, Khandelwal, Niranjan

    “…Masses are one of the common signs of nonpalpable breast cancer visible in mammograms. However, due to its irregular and obscured margin, variability in size,…”
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  11. 11

    Filtering electrocardiographic signals using an unbiased and normalized adaptive noise reduction system by Wu, Yunfeng, Rangayyan, Rangaraj M, Zhou, Yachao, Ng, Sin-Chun

    Published in Medical engineering & physics (01-01-2009)
    “…Abstract We present a novel unbiased and normalized adaptive noise reduction (UNANR) system to suppress random noise in electrocardiographic (ECG) signals. The…”
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  12. 12

    A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs by Rangayyan, Rangaraj M., Ayres, Fábio J., Leo Desautels, J.E.

    Published in Journal of the Franklin Institute (01-05-2007)
    “…Mammography is the best available tool for screening for the early detection of breast cancer. Mammographic screening has been shown to be effective in…”
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  13. 13

    Detection of the Optic Nerve Head in Fundus Images of the Retina Using the Hough Transform for Circles by Zhu, Xiaolu, Rangayyan, Rangaraj M., Ells, Anna L.

    Published in Journal of digital imaging (01-06-2010)
    “…Detection of the optic nerve head (ONH) is a key preprocessing component in algorithms for the automatic extraction of the anatomical structures of the retina…”
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  14. 14
  15. 15

    Detection of Architectural Distortion in Prior Mammograms by Banik, S, Rangayyan, R M, Desautels, J E L

    Published in IEEE transactions on medical imaging (01-02-2011)
    “…We present methods for the detection of sites of architectural distortion in prior mammograms of interval-cancer cases. We hypothesize that screening…”
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  16. 16

    Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions by Rangayyan, Rangaraj M., Wu, Y. F.

    “…Externally detected vibroarthrographic (VAG) signals bear diagnostic information related to the roughness, softening, breakdown, or the state of lubrication of…”
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  17. 17

    Quantification of the changes in the openness of the major temporal arcade in retinal fundus images of preterm infants with plus disease by Oloumi, Faraz, Rangayyan, Rangaraj M, Ells, Anna L

    “…We tested the hypothesis that the openness of the major temporal arcade (MTA) changes in the presence of plus disease, by quantification via parabolic modeling…”
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  18. 18

    Detection of the Optic Nerve Head in Fundus Images of the Retina with Gabor Filters and Phase Portrait Analysis by Rangayyan, Rangaraj M., Zhu, Xiaolu, Ayres, Fábio J., Ells, Anna L.

    Published in Journal of digital imaging (01-08-2010)
    “…We propose a method using Gabor filters and phase portraits to automatically locate the optic nerve head (ONH) in fundus images of the retina. Because the…”
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  19. 19

    Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers by Mu, Tingting, Nandi, Asoke K., Rangayyan, Rangaraj M.

    Published in Journal of digital imaging (01-06-2008)
    “…Breast masses due to benign disease and malignant tumors related to breast cancer differ in terms of shape, edge-sharpness, and texture characteristics. In…”
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  20. 20

    Analysis of Machine Learning Algorithms for Diagnosis of Diffuse Lung Diseases by Cardoso, Isadora, Almeida, Eliana, Allende-Cid, Hector, Frery, Alejandro C, Rangayyan, Rangaraj M, Azevedo-Marques, Paulo M, Ramos, Heitor S

    Published in Methods of information in medicine (01-11-2018)
    “…Computational Intelligence Re-meets Medical Image Processing A Comparison of Some Nature-Inspired Optimization Metaheuristics Applied in Biomedical Image…”
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