Medical Image Preprocessing for Skin Cancer Images Using Chessboardfilter Algorithm

Objective: The objective of this paper is to investigate the significance of thorough preprocessing in enhancing the quality of dermoscopic images of melanoma. The study aims to increase accuracy by addressing noise and hair-related distortions, thereby improving the overall analysis and diagnostic results

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-09
DOI
https://doi.org/10.5281/zenodo.16784861
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Medical Image Preprocessing for Skin Cancer Images Using Chessboardfilter Algorithm

Zenodo (CERN European Organization for Nuclear Research)
Cutaneous Melanoma Detection and Management
article

Medical Image Preprocessing for Skin Cancer Images Using Chessboardfilter Algorithm

article en

Abstract

Objective: The objective of this paper is to investigate the significance of thorough preprocessing in enhancing the quality of dermoscopic images of melanoma. The study aims to increase accuracy by addressing noise and hair-related distortions, thereby improving the overall analysis and diagnostic results

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 42%
Cutaneous Melanoma Detection and Management
DOIOpen Access PDFOpenAlex
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Medical Image Preprocessing for Skin Cancer Images Using Chessboardfilter Algorithm · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS