Paper Title
Diagnosis of Skin Cancer Using Image Processing
Article Identifiers
Authors
Keywords
Skin Cancer, Image Processing, MATLAB, Feature extraction, Machine Learning, Classification, Analysis.
Abstract
Skin cancer is an existence-threatening ailment that calls for early detection and accurate prognosis for powerful remedies. This abstract affords a technique for diagnosing skin most cancers with the usage of image-processing techniques implemented in MATLAB. High-resolution pics of affected skin regions are obtained with the usage of advanced imaging modalities, and pre-processing techniques are implemented to beautify the photograph's high quality. Features along with texture, color, and shape are extracted from the pictures to capture distinct traits of skin lesions. Machine learning algorithms are then hired to categorize the lesions as benign or malignant. These algorithms are skilled on a dataset of annotated skin cancer pictures, permitting them to examine the styles related to extraordinary lesion sorts. The proposed technique gives correct class results, as confirmed by using assessment metrics. This automated system has the capability to enhance the performance and accuracy of pores and skin cancer analysis, assisting in early detection and improving patient care.
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How To Cite (APA)
Vaibhav Dev Dixit, Satyam Tiwari, Siddharth Rai, & Aarthy Rajeev (May-2023). Diagnosis of Skin Cancer Using Image Processing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), i125-i131. https://ijnrd.org/papers/IJNRD2305816.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : i125-i131
Other Publication Details
Paper Reg. ID: IJNRD_197562
Published Paper Id: IJNRD2305816
Downloads: 000122253
Research Area: Electronics & Communication Engg.Â
Author Type: Indian Author
Country: Ghaziabad, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305816.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305816
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