Computer Vision and Medical Image Processing: a brief survey of application areas

Autores
Párraga Álava, Jorge Antonio
Año de publicación
2015
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Every day is greater the number of images obtained to characterize the anatomy and functions of the human body, because of this the automation of the medical image processing has become a practice to improve the diagnosis and treatment of certain diseases. In this study the main areas of application of computer vision to the digital processing of medical images are reviewed. It begins with the selection of the three edges with more publications available in Springer, ScienceDirect, Wiley, and IEEE which are: segmentation of organs and lesions, feature extraction in optical images and labelling machine on x-ray images. Over them, latest algorithms, techniques and methods for medical imaging processing are analyzed exposing its main characteristics and ways of use.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
Segmentation
Image processing software
labelling
feature extraction
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/52114

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spelling Computer Vision and Medical Image Processing: a brief survey of application areasPárraga Álava, Jorge AntonioCiencias InformáticasSegmentationImage processing softwarelabellingfeature extractionEvery day is greater the number of images obtained to characterize the anatomy and functions of the human body, because of this the automation of the medical image processing has become a practice to improve the diagnosis and treatment of certain diseases. In this study the main areas of application of computer vision to the digital processing of medical images are reviewed. It begins with the selection of the three edges with more publications available in Springer, ScienceDirect, Wiley, and IEEE which are: segmentation of organs and lesions, feature extraction in optical images and labelling machine on x-ray images. Over them, latest algorithms, techniques and methods for medical imaging processing are analyzed exposing its main characteristics and ways of use.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2015info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf152-159http://sedici.unlp.edu.ar/handle/10915/52114enginfo:eu-repo/semantics/altIdentifier/url/http://44jaiio.sadio.org.ar/sites/default/files/asai152-159.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7585info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:04:31Zoai:sedici.unlp.edu.ar:10915/52114Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:04:31.497SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Computer Vision and Medical Image Processing: a brief survey of application areas
title Computer Vision and Medical Image Processing: a brief survey of application areas
spellingShingle Computer Vision and Medical Image Processing: a brief survey of application areas
Párraga Álava, Jorge Antonio
Ciencias Informáticas
Segmentation
Image processing software
labelling
feature extraction
title_short Computer Vision and Medical Image Processing: a brief survey of application areas
title_full Computer Vision and Medical Image Processing: a brief survey of application areas
title_fullStr Computer Vision and Medical Image Processing: a brief survey of application areas
title_full_unstemmed Computer Vision and Medical Image Processing: a brief survey of application areas
title_sort Computer Vision and Medical Image Processing: a brief survey of application areas
dc.creator.none.fl_str_mv Párraga Álava, Jorge Antonio
author Párraga Álava, Jorge Antonio
author_facet Párraga Álava, Jorge Antonio
author_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Segmentation
Image processing software
labelling
feature extraction
topic Ciencias Informáticas
Segmentation
Image processing software
labelling
feature extraction
dc.description.none.fl_txt_mv Every day is greater the number of images obtained to characterize the anatomy and functions of the human body, because of this the automation of the medical image processing has become a practice to improve the diagnosis and treatment of certain diseases. In this study the main areas of application of computer vision to the digital processing of medical images are reviewed. It begins with the selection of the three edges with more publications available in Springer, ScienceDirect, Wiley, and IEEE which are: segmentation of organs and lesions, feature extraction in optical images and labelling machine on x-ray images. Over them, latest algorithms, techniques and methods for medical imaging processing are analyzed exposing its main characteristics and ways of use.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description Every day is greater the number of images obtained to characterize the anatomy and functions of the human body, because of this the automation of the medical image processing has become a practice to improve the diagnosis and treatment of certain diseases. In this study the main areas of application of computer vision to the digital processing of medical images are reviewed. It begins with the selection of the three edges with more publications available in Springer, ScienceDirect, Wiley, and IEEE which are: segmentation of organs and lesions, feature extraction in optical images and labelling machine on x-ray images. Over them, latest algorithms, techniques and methods for medical imaging processing are analyzed exposing its main characteristics and ways of use.
publishDate 2015
dc.date.none.fl_str_mv 2015
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