Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features

This study aims to enable effective breast ultrasound image classification by combining deep features with conventional handcrafted features to classify the tumors. In particular, the deep features are extracted from a pre-trained convolutional neural network model, namely the VGG19 model, at six di...

Descripción completa

Detalles Bibliográficos
Autores principales: Daoud, Mohammad I., Abdel-Rahman, Samir, Bdair, Tariq M., Al-Najar, Mahasen S., Al-Hawari, Feras H., Alazrai, Rami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730057/
https://www.ncbi.nlm.nih.gov/pubmed/33265900
http://dx.doi.org/10.3390/s20236838

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730057/
https://www.ncbi.nlm.nih.gov/pubmed/33265900
http://dx.doi.org/10.3390/s20236838

Ejemplares similares