Tiny convolution contextual neural network: a lightweight model for skin lesion detection

Huy Trinh; Trong-Hieu Nguyen Mau; Phuoc-Thao Vo Thi; Hai-Dang Nguyen

doi:10.1117/12.2679699

7 June 2023 Tiny convolution contextual neural network: a lightweight model for skin lesion detection

Huy Trinh, Trong-Hieu Nguyen Mau, Phuoc-Thao Vo Thi, Hai-Dang Nguyen

Proceedings Volume 12701, Fifteenth International Conference on Machine Vision (ICMV 2022); 127010U (2023) https://doi.org/10.1117/12.2679699
Event: Fifteenth International Conference on Machine Vision (ICMV 2022), 2022, Rome, Italy

Abstract

Skin Lesion is a controversial disease all over the world, particularly Melanoma which is a kind of skin cancer. In recent years, there are several methods of using the Convolutional Neural Network and Vision Transformer model have been proposed for the detection and classification of skin images and have achieved competitive results. In this paper, we introduce and demonstrate the efficiency of the Tiny Convolution Contextual Neural Network (TCC Neural Network) which is a tiny model with light-weight architecture than the previous architecture, and have fewer parameter than the popular model for classification of nine lesions from skin images. Our proposal achieves 0.75 on accuracy and 0.55 on F1 score with 5.6 million parameters in the Skin Lesion classification task.

Citation Download Citation

Huy Trinh, Trong-Hieu Nguyen Mau, Phuoc-Thao Vo Thi, and Hai-Dang Nguyen "Tiny convolution contextual neural network: a lightweight model for skin lesion detection", Proc. SPIE 12701, Fifteenth International Conference on Machine Vision (ICMV 2022), 127010U (7 June 2023); https://doi.org/10.1117/12.2679699

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