Título:
Polyps flagging in virtual colonoscopy
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Autor:
Fiori, Marcelo
Musé, Pablo
Sapiro, Guillermo
Musé, Pablo
Sapiro, Guillermo
Tutor:
Tipo de documento:
Preprint
Editor:
Palabras clave:
Texture feature
Shape index
Virtual colonoscopy
Optical colonoscopy
Polyp detection
Shape index
Virtual colonoscopy
Optical colonoscopy
Polyp detection
Descriptores:
Procesamiento de Señales
Año de publicación:
2013
Contenido:
Resumen:
Computer tomographic colonography, combined with computer-aided detection, is a promising emerging technique for colonic polyp analysis. We present a complete pipeline for polyp detection, starting with a simple colon segmentation technique that enhances polyps, followed by an adaptive-scale candidate polyp delineation and classification based on new texture and geometric features that consider both the information in the candidate polyp and its immediate surrounding area. The proposed system is tested with ground truth data, including challenging flat and small polyps. For polyps larger than 6mm in size we achieve 100% sensitivity with just 0.9 false positives per case, and for polyps larger than 3mm in size we achieve 93% sensitivity with 2.8 false positives per case
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Citación:
Fiori, M., Musé, P., Sapiro, G. "Polyps Flagging in Virtual Colonoscopy" Publicado en: Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2013. Lecture Notes in Computer Science, vol 8259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41827-3_23
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Cobertura temporal:
Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Tratamiento de Imágenes
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| fms132.pdf | — | 1.26 MB | Adobe PDF |