An innovative deep learning framework for skin cancer detection employing ConvNeXtV2 and focal self-attention mechanisms

• Published in: Results in engineering Vol. 25; p. 103692
• Main Authors: Ozdemir, Burhanettin, Pacal, Ishak
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2025; Elsevier
• Subjects: ConvNeXtv2; Focal self-attention; Medical image analysis; Skin cancer detection; Vision transformer; Vision transformer; Skin cancer detection; ConvNeXtv2; Focal self-attention; Medical image analysis
• ISSN: 2590-1230; 2590-1230
• DOI: 10.1016/j.rineng.2024.103692

•This study presents a hybrid model that integrates ConvNeXtV2 blocks and focal self-attention, enhancing feature extraction and detail recognition in skin cancer images.•By replacing traditional convolutional blocks with ConvNeXtV2 in the initial stages, the model effectively identifies subtle and...