A System for Classification of Skin Lesions in Dermoscopic Images

Authors

  • Prathamesh A Somnathe Department of Electronics and Telecommunication Engineering, Jayawantrao Sawant College of Engineering, Pune, Savitribai Phule Pune University, Pune, India
  • Pratima P Gumaste Department of Electronics and Telecommunication Engineering, Jayawantrao Sawant College of Engineering, Pune, Savitribai Phule Pune University, Pune, India

Keywords:

Melanoma, Best-fit ellipse, Active contour

Abstract

Melanoma is a leading cause of skin cancer. It spreads through metastasis in the body and can affect the whole skin surface. Most of the skin cancers initiate with the formation of skin lesions on the skin surface. If the type of skin lesion is diagnosed properly at an early stage, then the chances of survival can be increased. This project aims at classifying the skin lesion into benign and melanoma.

References

Qaisar Abbas, M. E. Celebi and Irene Fordon Garcia, “Hair removal methods: A comparative study for dermoscopy images”, Biomedical Signal Processing and Control Elsevier, Page No (395-404), February 2011.

Catarina Barata, Jorge S. Marques and Jorge Rozeira, “A System for the Detection of Pigment Network in Dermoscopy Images Using Directional Filters”, IEEE Transactions on Biomedical Engineering, Volume-59, Issue-10, October 2012.

Nandini. M. N and M. S. Mallikarjunaswamy, “Detection of Melanoma Skin Diseases using Dermoscopy Images”, International Journal of Electronics Communication and Computer Technology, Volume-4, Issue-3, May 2014.

Sumithra R, Mahamad Suhil and D.S. Guru, “Segmentation and Classification of Skin Lesions for Disease Diagnosis”, International Conference on Advanced Computing Technologies and Applications, Page No (76-85), 2015.

Shivangi Jain, Vandana Jagtap, Nitin Pise, “Computer aided Melanoma skin cancer detection using Image Processing”, International Conference on Intelligent Computing, Communication & Convergence, Page No (735-740), 2015.

Md. Amran Hossen Bhuiyan, Ibrahim Azad and Md. KamalUddin, “Image Processing for Skin Cancer Features Extraction”, International Journal of Scientific & Engineering Research, Volume-4, Issue-2, February 2013.

Margarida Silveira, Jacinto C. Nascimento, Jorge S. Marques, André R. S. Marçal, Teresa Mendonça, Syogo Yamauchi, Junji Maeda and Jorge Rozeira, “Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images”, IEEE Journal of Selected Topics in Signal Processing, Volume-3, Issue-1, February 2009.

Omar Abuzaghleh, Buket D. Barkana and Miad Faezipour, “Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention”, IEEE Journal of Translational Engineering in Health and Medicine, Volume-3, 2015.

Dr. H. B. Kekre and Ms. Saylee M. Gharge, “Image Segmentation using Extended Edge Operator for Mammographic Images”, International Journal on Computer Science and Engineering, Volume-02, Issue No-04, Page No (1086-1091), 2010.

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Published

2025-11-11

How to Cite

[1]
S. Prathamesh A and G. Pratima P, “A System for Classification of Skin Lesions in Dermoscopic Images”, Int. J. Comp. Sci. Eng., vol. 4, no. 4, pp. 175–179, Nov. 2025.

Issue

Vol. 4 No. 4 (2016): IJCSE April Edition

Section

Research Article

License

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