A Review on Convolutional Neural Networks (CNN) in Skin Cancer Diagnosis

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.

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BibTeX RIS

BibTeX

@misc{khor2026review,
  title = {{A Review on Convolutional Neural Networks (CNN) in Skin Cancer Diagnosis}},
  author = {Feng Rong Khor},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23463024},
  url = {https://zenodo.org/records/23463024},
  note = {CC BY 4.0},
}

RIS

TY  - UNPB
TI  - A Review on Convolutional Neural Networks (CNN) in Skin Cancer Diagnosis
AU  - Feng Rong Khor
PY  - 2026
DA  - 2026/10/19
PB  - Zenodo
DO  - 10.5281/zenodo.23463024
UR  - https://zenodo.org/records/23463024
AB  - 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.
ER  -

Abstract

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