Search Results - "Sonawane, Rajendra S."

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  1. 1

    Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm by Shrivastava, Vimal K, Londhe, Narendra D, Sonawane, Rajendra S, Suri, Jasjit S

    Published in Computers in biology and medicine (01-10-2015)
    “…Abstract A large percentage of dermatologist׳s decision in psoriasis disease assessment is based on color. The current computer-aided diagnosis systems for…”
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    Journal Article
  2. 2

    A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification by Shrivastava, Vimal K., Londhe, Narendra D., Sonawane, Rajendra S., Suri, Jasjit S.

    “…•Automatic segmentation of psoriatic lesion using Bayesian model.•Multiclass psoriasis risk assessment system (pRAS).•Implementation of nine pRAS systems which…”
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    Journal Article
  3. 3

    Objective scoring of psoriasis area and severity index in 2D RGB images using deep learning by Raj, Ritesh, Londhe, Narendra D., Sonawane, Rajendra S.

    Published in Multimedia tools and applications (25-01-2024)
    “…Psoriasis Severity and Area Index (PASI) is a gold standard scoring system for the assessment of Psoriasis skin disease. Generally, PASI scoring is done…”
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    Journal Article
  4. 4

    Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind by Shrivastava, Vimal K, Londhe, Narendra D, Sonawane, Rajendra S, Suri, Jasjit S

    “…Highlights • Comparative analysis of systems with different feature sets. • HOS features extraction for psoriasis images. • Largest set of mathematical…”
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    Journal Article
  5. 5

    Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis by Dash, Manoranjan, Londhe, Narendra D., Ghosh, Subhojit, Shrivastava, Vimal K., Sonawane, Rajendra S.

    Published in Computational biology and chemistry (01-06-2020)
    “…[Display omitted] •Objective analysis of psoriasis disease over a larger dataset of 780 images.•Implementation of swarm intelligence algorithms to obtain…”
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    Journal Article
  6. 6

    First review on psoriasis severity risk stratification: An engineering perspective by Shrivastava, Vimal K, Londhe, Narendra D, Sonawane, Rajendra S, Suri, Jasjit S

    Published in Computers in biology and medicine (01-08-2015)
    “…Abstract Computer-aided diagnosis (CAD) systems have been used for characterization of several dermatologic diseases in the last few years. Psoriasis is a…”
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    Journal Article
  7. 7

    Reliability analysis of psoriasis decision support system in principal component analysis framework by Shrivastava, Vimal K., Londhe, Narendra D., Sonawane, Rajendra S., Suri, Jasjit S.

    Published in Data & knowledge engineering (01-11-2016)
    “…Reliability and accuracy are essential components in any decision support system. These become even more important with a rising number of features during the…”
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    Journal Article
  8. 8

    TransUnet for psoriasis lesion segmentation by Soni, Samiksha, Londhe, Narendra D., Raj, Ritesh, Sonawane, Rajendra S.

    “…Outstanding performance of the transformer-based model in the field of natural language processing has piqued the interest of researchers in investigating…”
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    Conference Proceeding
  9. 9

    Deep Learning based Multi-Segmentation for Automatic Estimation of Psoriasis Area Score by Raj, Ritesh, Londhe, Narendra D., Sonawane, Rajendra S.

    “…Psoriasis is an incurable and enduring skin disease. The standard metric used for the measurement of psoriasis severity and extent is known as Psoriasis Area…”
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    Conference Proceeding
  10. 10

    Automatic Psoriasis Lesion Segmentation from Raw Color Images using Deep Learning by Raj, Ritesh, Londhe, Narendra D., Sonawane, Rajendra S.

    “…Psoriasis is a chronic skin disease having raised, red, and scaly patches over the different regions of the human body. The segmentation of psoriasis lesions…”
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    Conference Proceeding
  11. 11

    PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network by Dash, Manoranjan, Londhe, Narendra D., Ghosh, Subhojit, Semwal, Ashish, Sonawane, Rajendra S.

    Published in Biomedical signal processing and control (01-07-2019)
    “…•Implementation of U-Net based fully convolutional neural network (PsLSNet) for the automatic psoriasis skin lesion segmentation.•Validation of the proposed…”
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    Journal Article
  12. 12

    A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment by Dash, Manoranjan, Londhe, Narendra D., Ghosh, Subhojit, Raj, Ritesh, Sonawane, Rajendra S.

    Published in Applied soft computing (01-06-2020)
    “…The design of an efficient computer-aided diagnosis (CADx) system for psoriasis severity assessment demands both accurate segmentation and classification of…”
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    Journal Article
  13. 13

    A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm by Shrivastava, Vimal K., Londhe, Narendra D., Sonawane, Rajendra S., Suri, Jasjit S.

    Published in Biomedical signal processing and control (01-07-2016)
    “…•Multiclass risk assessment and stratification system for psoriasis disease.•Comparison of four kinds of systems: SVM-PCA, SVM-FDR, DT-PCA and…”
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    Journal Article
  14. 14

    Improving Performance of Psoriasis Lesion Segmentation Using Attention-UNet with EfficientNet Encoder by Soni, Samiksha, Londhe, Narendra D., Sonawane, Rajendra S.

    “…Psoriasis is an inflammatory skin disease caused due to the accelerated growth of epidermal tissues giving rise to thick, red, and scaly patches on the skin…”
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    Conference Proceeding