A general framework for the segmentation of follicular lymphoma virtual slides.
Comput Med Imaging Graph
; 36(6): 442-51, 2012 Sep.
Article
en En
| MEDLINE
| ID: mdl-22717207
ABSTRACT
Follicular lymphoma (FL) is one of the most common types of non-Hodgkin's lmphomas in the world. Diagnosis of FL is based on morphological and immunohistochemical characteristics found on tissue sections. Our project's aim is to develop computer-aided analysis tools on virtual slide images (VSI) of lymphoid tissues with the purpose of improving the FL grading performed in malignant follicles. In this paper, we focus on the first step of our work, an automated system for detecting follicles in VSI of lymphoid tissues. To mimic the human expert process, the system works on low-resolution CD20 images and maps the follicle boundaries on high-resolution H&E images.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Biopsia
/
Algoritmos
/
Interfaz Usuario-Computador
/
Reconocimiento de Normas Patrones Automatizadas
/
Interpretación de Imagen Asistida por Computador
/
Linfoma Folicular
/
Microscopía
Tipo de estudio:
Diagnostic_studies
Límite:
Humans
Idioma:
En
Revista:
Comput Med Imaging Graph
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
Año:
2012
Tipo del documento:
Article
País de afiliación:
Estados Unidos