[PDF][PDF] Preliminary Identification of Skin Lesions using Efficient Computational Learning Techniques
CV Niño-Rondón, DA Castellano-Carvajal… - Eco …, 2022 - revistas.ufps.edu.co
Eco Matemático, 2022•revistas.ufps.edu.co
… Abstract: Machine learning (ML) is one of the fields of artificial intelligence that offers
algorithms to predict from samples the effective detection of skin lesions caused by skin
cancer. This paper presents the preliminary identification of skin lesions using optimized
algorithms for texture feature extraction by GLCM and feature-based learning (LightGBM, SVM
and HAAR Cascade) as an initial stage for a diagnostic tool. The HAM10000 skin lesion image
set, Python programming language and open source-based libraries are used to process the …
algorithms to predict from samples the effective detection of skin lesions caused by skin
cancer. This paper presents the preliminary identification of skin lesions using optimized
algorithms for texture feature extraction by GLCM and feature-based learning (LightGBM, SVM
and HAAR Cascade) as an initial stage for a diagnostic tool. The HAM10000 skin lesion image
set, Python programming language and open source-based libraries are used to process the …
Resumen
El aprendizaje automático (ML) es uno de los campos de la inteligencia artificial que ofrece
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