Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation.
Annu Rev Biomed Eng
; 22: 127-153, 2020 06 04.
Article
en En
| MEDLINE
| ID: mdl-32169002
ABSTRACT
Sparsity is a powerful concept to exploit for high-dimensional machine learning and associated representational and computational efficiency. Sparsity is well suited for medical image segmentation. We present a selection of techniques that incorporate sparsity, including strategies based on dictionary learning and deep learning, that are aimed at medical image segmentation and related quantification.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
/
Imagenología Tridimensional
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Annu Rev Biomed Eng
Asunto de la revista:
ENGENHARIA BIOMEDICA
Año:
2020
Tipo del documento:
Article