{
  "abstract": "This paper provides a detailed review of Convolutional Neural Networks (CNN) in skin cancer diagnosis systems. It thoroughly explores the process of optimizing CNNs for skin cancer diagnosis systems and their benefits in said systems. Furthermore, current issues impeding advancements and suggestions on improving this technology for future use are also discussed in this paper. Finally, this paper concludes that findings show that CNNs have promising potential to be utilised in aiding dermatologists to diagnose skin cancer in the near future.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "name": "Feng Rong Khor"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ecjwrmya9teqr.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23463024",
  "fulltext_url": null,
  "id": "ecjwrmya9teqr",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23463024",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://zenodo.org/api/records/23463024/files/A%20Review%20on%20Convolutional%20Neural%20Networks%20(CNN)%20in%20Skin%20Cancer%20Diagnosis.pdf/content",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-19",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ecjwrmya9teqr.ris",
  "sources": [
    {
      "first_seen": "2026-11-02T12:21:54Z",
      "native_id": "23463024",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23463024"
    }
  ],
  "subjects": [],
  "title": "A Review on Convolutional Neural Networks (CNN) in Skin Cancer Diagnosis",
  "title_text": "A Review on Convolutional Neural Networks (CNN) in Skin Cancer Diagnosis",
  "type": "preprint",
  "updated_at": "2026-11-02T12:21:54Z",
  "url": "https://research.draconitic.com/paper/ecjwrmya9teqr",
  "venue": "Zenodo",
  "versions": []
}