Detection And Recognition Method Of Benign Skin Cancer In Dermoscopic Images Using Hybrid Feature Fusion Model

Authors

  • Dr. Manjunatha Hiremath Department of Computer Science, CHRIST (Deemed to be University), Bangalore560076, Karnataka, India Author
  • Dr. Seema Prashant Nehete epartment of Computer Engineering, Don Bosco Institute of Technology, Kurla Author
  • Dr. Shila Sumol Jawale Department of Artificial Intelligence, Datta Meghe College of Engineering, Airoli, India Author
  • Dr. Mostaque Md. Morshedur Hassan Department of Artificial Intelligence, Datta Meghe College of Engineering, Airoli, India Author
  • Divyang Pankajbhai Raval Department of Computer Engineering, Shree Swaminarayan Polytechnic Gandhinagar, India Author
  • Dr. Mostaque Md. Morshedur Hassan Department of Computer Engineering, Shree Swaminarayan Polytechnic Gandhinagar, India. Author
  • Hitarth Dharmendrakumar Patel Department of Computer Engineering, Shree Swaminarayan Polytechnic Gandhinagar, India. Author
  • ayashri Deb Sinha Department of Computer Science(Data Science), Haldia Institute of Technology Haldia, India. Author
  • Santanu Koley Department of Computer Science & Engineering, Haldia Institute of Technology Haldia, India Author

DOI:

https://doi.org/10.48047/g0q4qk75

Keywords:

Image processing, Hybrid Segmentation, Benign Cells, recognition.

Abstract

Image Processing and computer-aided diagnostics have become increasingly important in the modern world
of medical diagnosis. This diagnostic procedure has been widely accepted by the medical community for its
biological imaging applications. According to a recent survey conducted by the American Academy of
Dermatology Association (AAD), it is evaluated that 192,310 new instances of melanoma and 95,830
favorable cells(noninvasive) cases will be analyzed in the U.S in 2019. In order for this diagnosis to take
place and in order to identify the reasons behind this, immense technological support along with a thorough
analysis by medical experts is required. The objective of this paper focuses on developing a recognition
system to differentiate and identify benign cells from the affected part of the skin. So that the skin lesion can
be identified as affected or not.

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Published

2025-01-10

Issue

Vol. 54 No. 2 (2025): Year 2025, Volume 54, Issue 2

Section

Articles

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How to Cite

Detection And Recognition Method Of Benign Skin Cancer In Dermoscopic Images Using Hybrid Feature Fusion Model (M. . Hiremath, . S. . Prashant Nehete, S. . Sumol Jawale, M. M. . Morshedur Hassan, D. . Pankajbhai Raval, H. . Dharmendrakumar Patel, H. . Dharmendrakumar Patel, ayashri . Deb Sinha, & S. . Koley , Trans.). (2025). Cuestiones De Fisioterapia, 54(2), 4644-4650. https://doi.org/10.48047/g0q4qk75