Grid-Based Structural and Dimensional Skin Cancer Classification with Self-Featured Optimized Explainable Deep Convolutional Neural Networks

Grid-Based Structural and Dimensional Skin Cancer Classification with Self-Featured Optimized Explainable Deep Convolutional Neural Networks

Skin cancer is a severe and potentially lethal disease, and early detection is critical for successful treatment. Traditional procedures for diagnosing skin cancer are expensive, time-intensive, and necessitate the expertise of a medical practitioner. In recent years, many researchers have developed...

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Bibliographic Details
Main Authors: Kavita Behara, Ernest Bhero, John Terhile Agee
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:International Journal of Molecular Sciences
Subjects:
explainable convolutional neural network
skin cancer
grid-based structural pattern
VGG-16
adaptive intelligent coney optimization algorithm
Online Access:https://www.mdpi.com/1422-0067/25/3/1546

Internet

https://www.mdpi.com/1422-0067/25/3/1546

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