CANNSkin: A Convolutional Autoencoder Neural Network-Based Model for Skin Cancer Classification

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Authors: Abdul Jabbar Siddiqui, Saheed Ademola Bello, Muhammad Liman Gambo, Abdul Khader Jilani Saudagar, Mohamad A. Alawad, Amir Hussain
Cited by: 0

Abstract

Visual diagnosis of skin cancer is challenging due to subtle inter-class similarities, variations in skin texture, the presence of hair, and inconsistent illumination. Deep learning models have shown promise in assisting earl... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Cutaneous Melanoma Detection and Management AI in cancer detection Advanced Neural Network Applications

Publication details

Journal / source
Computer Modeling in Engineering & Sciences
Volume
146
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN