Pre-diagnosis of skin cancer using Image Processing

Registration ID: IJNRD_183463

Published ID: IJNRD2210109

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Mithilesh.B

melanoma, skin disorderss, malignant, segmentation, feature extraction, color variation.

The use of photos from a standard camera to automatically identify melanoma that are malignant is a revolutionary technique. As a pre-screening system for the early diagnosis, this type of automated system would be very beneficial to dermatologists. A significant lot of research has been done in this field on dermoscopy images, but little focus has been placed on creating an expert system for diagnosis utilising photos from conventional cameras. Also taking into account the possibility that dermoscopy may not be readily available to the general public, this work focuses primarily on applying the algorithm to photos captured by a camera. The suggested approach utilises pre-processed pictures that have undergone lesion segmentation and feature extraction. To identify variation in the photos, morphological traits such as asymmetry, border irregularity, and colour variation are extracted. Consequently, skin cancer can be identified and the dangers connected with it can be somewhat diminished.

Published Paper   E-Certificate

Mithilesh.B (October-2022). Pre-diagnosis of skin cancer using Image Processing . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(10), 898-904. https://ijnrd.org/papers/IJNRD2210109.pdf

Volume 7 Issue 10, October-2022

Pages : 898-904

Paper Reg. ID: IJNRD_183463

Published Paper Id: IJNRD2210109

Downloads: 000122254

Research Area: Bio Medical Engineering 

Author Type: Indian Author

Country: PONDICHERRY, PONDICHERRY, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2210109.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2210109

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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