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Artificial intelligence-driven enhanced skin cancer diagnosis: leveraging convolutional neural networks with discrete wavelet transformation

Published Online: 2024-04-09

Authors

Claret, S. P. Angelin

Dharmian, Jose Prakash

Manokar, A. Muthu http://orcid.org/0000-0001-7523-6796
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Text and Data Mining valid from 2024-04-09

Version of Record valid from 2024-04-09
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Article History

Received: 28 September 2023

Accepted: 1 April 2024

First Online: 9 April 2024

Declarations

:

: This study did not involve any research with human or animal subjects. All experiments were performed using the HAM 10000 dataset to investigate and ISIC 2018 dataset is used to construct the suggested algorithm for detecting skin cancer.

: Not applicable. This study did not involve any research with human or animal subjects.. All experiments were performed using the HAM 10000 dataset to investigate and ISIC 2018 dataset is used to construct the suggested algorithm for detecting skin cancer.

: The authors state that there are no conflicts of interest.

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