Enhancing dermoscopic pigmented skin lesion classification: A refined approach using the pre-trained Inception-V3 architecture

Erwin S. Nugroho, Igi Ardiyanto, Hanung A. Nugroho

Open source

DOI: 10.52225/narra.v5i2.1852
Published: 2025-04-21
Container: Narra J
Publisher: Narra Sains Indonesia
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.52225/narra.v5i2.1852,
  title = {Enhancing dermoscopic pigmented skin lesion classification: A refined approach using the pre-trained Inception-V3 architecture},
  author = {Erwin S. Nugroho and Igi Ardiyanto and Hanung A. Nugroho},
  year = {2025},
  journal = {Narra J},
  doi = {10.52225/narra.v5i2.1852},
  url = {https://doi.org/10.52225/narra.v5i2.1852}
}

RIS

TY  - JOUR
TI  - Enhancing dermoscopic pigmented skin lesion classification: A refined approach using the pre-trained Inception-V3 architecture
AU  - Erwin S. Nugroho
AU  - Igi Ardiyanto
AU  - Hanung A. Nugroho
PY  - 2025
JO  - Narra J
DO  - 10.52225/narra.v5i2.1852
UR  - https://doi.org/10.52225/narra.v5i2.1852
ER  -

APA

Nugroho, E. S., Ardiyanto, I., & Nugroho, H. A. (2025). Enhancing dermoscopic pigmented skin lesion classification: A refined approach using the pre-trained Inception-V3 architecture. Narra J. https://doi.org/10.52225/narra.v5i2.1852

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crossref · retrieved 2026-09-26T13:45:59.964Z