Geodesic
Multimodal ensemble neural network system for skin cancer detection on heterogeneous dermatological data
Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 20 (2024) no. 2, pp. 231-243

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Today, skin cancer is one of the leading causes of death in the world. Diagnosing skin cancer early is critical to increasing potential survival. Therefore, it is relevant to develop high-precision intelligent auxiliary diagnostic systems for detecting skin cancer in the early stages. Ensemble learning is one of the current and promising methods for increasing the accuracy of intelligent classification systems by reducing the dispersion and variability of predictions of individual components of the overall system. The work proposes an ensemble intelligent system for analyzing heterogeneous dermatological data based on multimodal neural networks. The accuracy of the developed ensemble system was 85.92 %, which is 1.85 percentage points higher than the average accuracy of individual multimodal architectures for classifying heterogeneous dermatological data. The developed system can be used as a high-precision auxiliary diagnostic tool to help make a medical decision, which will increase the chance of early detection of pigmented oncological pathologies.
Keywords: multimodal neural network, ensemble neural network, machine learning, heterogeneous data, dermatological images, pigmented skin lesions, skin cancer, melanoma. 
@article{VSPUI_2024_20_2_a7,
     author = {U. A. Lyakhova and P. A. Lyakhov},
     title = {Multimodal ensemble neural network system for skin cancer detection on heterogeneous dermatological data},
     journal = {Vestnik Sankt-Peterburgskogo universiteta. Prikladna\^a matematika, informatika, processy upravleni\^a},
     pages = {231--243},
     publisher = {mathdoc},
     volume = {20},
     number = {2},
     year = {2024},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VSPUI_2024_20_2_a7/}
}
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U. A. Lyakhova; P. A. Lyakhov. Multimodal ensemble neural network system for skin cancer detection on heterogeneous dermatological data. Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 20 (2024) no. 2, pp. 231-243. http://geodesic.mathdoc.fr/item/VSPUI_2024_20_2_a7/