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

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

Abstract Background Artificial intelligence (AI) has shown great promise in the field of healthcare as a means of improving the diagnosis of skin cancer. The objective of this research is to enhance the precision and effectiveness of skin cancer identification by the incorporation of convolutional n...

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Bibliographic Details
Main Authors: S. P. Angelin Claret, Jose Prakash Dharmian, A. Muthu Manokar
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Egyptian Journal of Medical Human Genetics
Subjects:
Skin cancer
Classification
Discrete wavelet transformation (DWT)
Convolutional neural network (CNN)
Image processing
Online Access:https://doi.org/10.1186/s43042-024-00522-5

Internet

https://doi.org/10.1186/s43042-024-00522-5

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