Boosting the performance of pretrained CNN architecture on dermoscopic pigmented skin lesion classification.

Nugroho ES, Ardiyanto I, Nugroho HA

DOI: 10.1111/srt.13505
Published: 2023 Nov
Container: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1111/srt.13505,
  title = {Boosting the performance of pretrained CNN architecture on dermoscopic pigmented skin lesion classification.},
  author = {Nugroho ES and Ardiyanto I and Nugroho HA},
  year = {2023},
  journal = {Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)},
  doi = {10.1111/srt.13505},
  url = {https://doi.org/10.1111/srt.13505}
}

RIS

TY  - JOUR
TI  - Boosting the performance of pretrained CNN architecture on dermoscopic pigmented skin lesion classification.
AU  - Nugroho ES
AU  - Ardiyanto I
AU  - Nugroho HA
PY  - 2023
JO  - Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
DO  - 10.1111/srt.13505
UR  - https://doi.org/10.1111/srt.13505
ER  -

APA

ES, N., I, A., & HA, N. (2023). Boosting the performance of pretrained CNN architecture on dermoscopic pigmented skin lesion classification.. Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI). https://doi.org/10.1111/srt.13505

Source records

pubmed · retrieved 2026-09-26T20:17:12.211Z