Towards CNN-Based Registration of Craniocaudal and Mediolateral Oblique 2-D X-ray Mammographic Images.
Annu Int Conf IEEE Eng Med Biol Soc
; 2019: 2758-2764, 2019 Jul.
Article
em En
| MEDLINE
| ID: mdl-31946465
ABSTRACT
We investigate methodologies for the automated registration of pairs of 2-D X-ray mammographic images, taken from the two standard mammographic angles. We present two exploratory techniques, based on Convolutional Neural Networks, to examine their potential for co-registration of findings on the two standard mammographic views. To test algorithm performance, our analysis uses a synthetic, surrogate data set for performing controlled experiments, as well as real 2-D X-ray mammogram imagery. The preliminary results are promising, and provide insights into how the proposed techniques may support multi-view X-ray mammography image registration currently and as technology evolves in the future.
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Mamografia
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Ano de publicação:
2019
Tipo de documento:
Article