Título del libro: Proceedings - 6th Annual Conference On Computational Science And Computational Intelligence, Csci 2019
Título del capítulo: Classification of tumors in breast echography using a SVM algorithm
Autores UNAM:
PEDRO JESUS ACEVEDO CONTLA; MONICA VAZQUEZ HERNANDEZ;
Autores externos:
Idioma:
Año de publicación:
2019
Palabras clave:
Resumen:
Entidades citadas de la UNAM:
PEDRO JESUS ACEVEDO CONTLA; MONICA VAZQUEZ HERNANDEZ;
Autores externos:
Idioma:
Año de publicación:
2019
Palabras clave:
Image segmentation; K-means clustering; Tumors; Ultrasonic imaging; Benign and malignant tumors; Echography; K-means; Support vector machine algorithm; SVM algorithm; Tumor classification; Ultrasound images; Support vector machines
Resumen:
In this work tumor classification was performed using K-means and GLCM algorithms to segment ultrasound images. In order to apply Stavros criteria, a lineal support vector machine (SVM) algorithm was used to classify benign and malignant tumors. 94% of echographies were correctly classified. © 2019 IEEE.
Entidades citadas de la UNAM:
Fuente:
ISBN:
9781728155845
Editorial:
Institute of Electrical and Electronics Engineers Inc.
ISBN:
9781728155845
Editorial:
Institute of Electrical and Electronics Engineers Inc.
