Evaluating GPT-4o for Automated Classification of Skin Lesions Using the HAM10000 Dataset

Nitin Chetla

Open source

DOI
10.12788/cutis.1359
Published
2026-03-01
Container
Cutis
Publisher
Frontline Medical Communications, Inc.
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.12788/cutis.1359,
  title = {Evaluating GPT-4o for Automated Classification of Skin Lesions Using the HAM10000 Dataset},
  author = {Nitin Chetla},
  year = {2026},
  journal = {Cutis},
  doi = {10.12788/cutis.1359},
  url = {https://doi.org/10.12788/cutis.1359}
}

RIS

TY  - JOUR
TI  - Evaluating GPT-4o for Automated Classification of Skin Lesions Using the HAM10000 Dataset
AU  - Nitin Chetla
PY  - 2026
JO  - Cutis
DO  - 10.12788/cutis.1359
UR  - https://doi.org/10.12788/cutis.1359
ER  - 

APA

Chetla, N. (2026). Evaluating GPT-4o for Automated Classification of Skin Lesions Using the HAM10000 Dataset. Cutis. https://doi.org/10.12788/cutis.1359

Source records