Cargando…
Mammographic Mass Detection Using a Mass Template
OBJECTIVE: The purpose of this study was to develop a new method for automated mass detection in digital mammographic images using templates. MATERIALS AND METHODS: Masses were detected using a two steps process. First, the pixels in the mammogram images were scanned in 8 directions, and regions of...
Autores principales: | Özekes, Serhat, Osman, Onur, Çamurcu, A.Yilmaz |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
The Korean Radiological Society
2005
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684968/ https://www.ncbi.nlm.nih.gov/pubmed/16374079 http://dx.doi.org/10.3348/kjr.2005.6.4.221 |
Ejemplares similares
-
Nodule Detection in a Lung Region that's Segmented with Using Genetic Cellular Neural Networks and 3D Template Matching with Fuzzy Rule Based Thresholding
por: Ozekes, Serhat, et al.
Publicado: (2008) -
Fully convolutional network for automated detection and diagnosis of mammographic masses
por: Kulkarni, Sujata, et al.
Publicado: (2023) -
Role of mammographic templates in managing ever increasing workloads
por: Moody, Anne Nielsen, et al.
Publicado: (2015) -
Association between skeletal muscle mass and mammographic breast density
por: Lee, Kwan Ho, et al.
Publicado: (2021) -
A Spatial Shape Constrained Clustering Method for Mammographic Mass Segmentation
por: Lou, Jian-Yong, et al.
Publicado: (2015)