Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging.
J Healthc Eng
; 2019: 9360941, 2019.
Article
en En
| MEDLINE
| ID: mdl-31093321
ABSTRACT
Cluster of microcalcifications can be an early sign of breast cancer. In this paper, we propose a novel approach based on convolutional neural networks for the detection and segmentation of microcalcification clusters. In this work, we used 283 mammograms to train and validate our model, obtaining an accuracy of 99.99% on microcalcification detection and a false positive rate of 0.005%. Our results show how deep learning could be an effective tool to effectively support radiologists during mammograms examination.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Neoplasias de la Mama
/
Calcinosis
/
Mamografía
/
Interpretación de Imagen Radiográfica Asistida por Computador
/
Redes Neurales de la Computación
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Female
/
Humans
Idioma:
En
Revista:
J Healthc Eng
Año:
2019
Tipo del documento:
Article
País de afiliación:
Italia