Enhanced Multi-Class Skin Cancer Detection Using EfficientNet-B0 with Test-Time Augmentation and Monte Carlo Dropout

Pooja kukreja, Avani Chopra

Open source

DOI: 10.64823/ijter.2504002
Published: 2025-08-01
Container: International Journal of Technology and Emerging Research
Publisher: IORO Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.64823/ijter.2504002,
  title = {Enhanced Multi-Class Skin Cancer Detection Using EfficientNet-B0 with Test-Time Augmentation and Monte Carlo Dropout},
  author = {Pooja kukreja and Avani Chopra},
  year = {2025},
  journal = {International Journal of Technology and Emerging Research},
  doi = {10.64823/ijter.2504002},
  url = {https://doi.org/10.64823/ijter.2504002}
}

RIS

TY  - JOUR
TI  - Enhanced Multi-Class Skin Cancer Detection Using EfficientNet-B0 with Test-Time Augmentation and Monte Carlo Dropout
AU  - Pooja kukreja
AU  - Avani Chopra
PY  - 2025
JO  - International Journal of Technology and Emerging Research
DO  - 10.64823/ijter.2504002
UR  - https://doi.org/10.64823/ijter.2504002
ER  -

APA

kukreja, P., & Chopra, A. (2025). Enhanced Multi-Class Skin Cancer Detection Using EfficientNet-B0 with Test-Time Augmentation and Monte Carlo Dropout. International Journal of Technology and Emerging Research. https://doi.org/10.64823/ijter.2504002

Source records

crossref · retrieved 2026-09-25T10:45:53.336Z