Revista ELECTRO
Vol. 43 – Año 2021
Artículo
TÍTULO
Clasificación de Imágenes de Histología de Cáncer de Mama Mediante una Red Neuronal Convolucional Ligera
AUTORES
Acosta Lara Iván E., Macías Macías José M., Ramírez Quintana Juan A., Chacón Murguía Mario I., Corral Sáenz Alma D.
RESUMEN
El cáncer de mama es una de las principales causas de muerte de mujeres en todo el mundo, pero el diagnóstico puede brindar tratamiento y cuidado que permita al paciente una mayor calidad de vida. Por ello, el propósito de este artículo es desarrollar una Red Neuronal Convolucional que realice una clasificación automática binaria de imágenes de histología mamaria. Esta red es de bajo costo computacional debido a que trabaja con capas convolucionales divisibles en profundidad en paralelo. Además, se propone un preprocesamiento de imágenes de histología utilizando técnicas como normalización de tinción e intensidad. De acuerdo con los experimentos, se obtienen desempeños mayores al 93% de precisión en la base de datos BreakHis
Palabras Clave: red neuronal convolucional, histología, cáncer de mama.
ABSTRACT
Breast cancer is one of the leading causes of death for women worldwide, but diagnosis can provide treatment and care that allows the patient a higher quality of life. Therefore, the purpose of this article is to develop a Convolutional Neural Network that performs an automatic binary classification of mammary histology images. This network is low computational cost because it works with depth divisible convolutional layers in parallel. In addition, a pre-processing of histology images is proposed using techniques such as staining and intensity normalization. According to the experiments, performances greater than 93% precision are obtained in the BreakHis database.
Keywords: convolutional neural network, histology, breast cancer.
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CITAR COMO:
Acosta Lara Iván E., Macías Macías José M., Ramírez Quintana Juan A., Chacón Murguía Mario I., Corral Sáenz Alma D., "Clasificación de Imágenes de Histología de Cáncer de Mama Mediante una Red Neuronal Convolucional Ligera", Revista ELECTRO, Vol. 43, 2021, pp. 186-191.
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