Publicação
Combination of color-based segmentation, Markov random fields and multilayer perceptron
| Resumo: | Angioectasias are lesions characterized by specific features, related to their color and shape. Since the high prevalence of angioectasias in the small bowel, it is of great importance the development of a method to correctly localize these lesions within the intestinal tissue. Since the differences found in the color of the lesions, when compared with other lesions and the normal tissue, it was developed a method based of the probability segmentation of pixels, with a Markov Random Field property to improve the neighborhood of the lesion. This was done with the CIELab color space, since it was found that has high efficiency in differentiating colors in an image. |
|---|---|
| Autores principais: | Vieira, Pedro Miguel |
| Outros Autores: | Freitas, Nuno Renato; Rolanda, Carla; Lima, C. S. |
| Assunto: | Saúde de qualidade |
| Ano: | 2021 |
| País: | Portugal |
| Tipo de documento: | capítulo de livro |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1867439853133627392 |
|---|---|
| author | Vieira, Pedro Miguel |
| author2 | Freitas, Nuno Renato Rolanda, Carla Lima, C. S. |
| author2_role | author author author |
| author_facet | Vieira, Pedro Miguel Freitas, Nuno Renato Rolanda, Carla Lima, C. S. |
| author_role | author |
| contributor_name_str_mv | RepositóriUM - Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Vieira, Pedro Miguel\"},{\"Person.name\":\"Freitas, Nuno Renato\"},{\"Person.name\":\"Rolanda, Carla\"},{\"Person.name\":\"Lima, C. S.\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | RepositóriUM - Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Vieira, Pedro Miguel Freitas, Nuno Renato Rolanda, Carla Lima, C. S. |
| datacite.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-06-05T09:34:55Z |
| datacite.date.embargoed.fl_str_mv | 2023-06-05T09:34:55Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Saúde de qualidade |
| datacite.titles.title.fl_str_mv | Combination of color-based segmentation, Markov random fields and multilayer perceptron |
| dc.contributor.none.fl_str_mv | RepositóriUM - Universidade do Minho |
| dc.creator.none.fl_str_mv | Vieira, Pedro Miguel Freitas, Nuno Renato Rolanda, Carla Lima, C. S. |
| dc.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-06-05T09:34:55Z |
| dc.date.embargoed.fl_str_mv | 2023-06-05T09:34:55Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/84890 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer, Cham |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Saúde de qualidade |
| dc.title.fl_str_mv | Combination of color-based segmentation, Markov random fields and multilayer perceptron |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_3248 |
| description | Angioectasias are lesions characterized by specific features, related to their color and shape. Since the high prevalence of angioectasias in the small bowel, it is of great importance the development of a method to correctly localize these lesions within the intestinal tissue. Since the differences found in the color of the lesions, when compared with other lesions and the normal tissue, it was developed a method based of the probability segmentation of pixels, with a Markov Random Field property to improve the neighborhood of the lesion. This was done with the CIELab color space, since it was found that has high efficiency in differentiating colors in an image. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | bookPart |
| fulltext.url.fl_str_mv | https://repositorium.uminho.pt/bitstreams/6530ce49-497a-4fb0-b382-a9e1222f7fe0/download |
| id | rum_564fbb0bfeefee3fb2299f2bf089d683 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/84890 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/84890 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Vieira, Pedro Miguel Freitas, Nuno Renato Rolanda, Carla Lima, C. S. |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Springer, Cham |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engSpringer, ChamporAngioectasias are lesions characterized by specific features, related to their color and shape. Since the high prevalence of angioectasias in the small bowel, it is of great importance the development of a method to correctly localize these lesions within the intestinal tissue. Since the differences found in the color of the lesions, when compared with other lesions and the normal tissue, it was developed a method based of the probability segmentation of pixels, with a Markov Random Field property to improve the neighborhood of the lesion. This was done with the CIELab color space, since it was found that has high efficiency in differentiating colors in an image.application/pdfporCombination of color-based segmentation, Markov random fields and multilayer perceptronVieira, Pedro MiguelFreitas, Nuno RenatoRolanda, CarlaLima, C. S.HostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptCITATIONVieira, P. M., Freitas, N. R., Rolanda, C., & Lima, C. S. (2021). Combination of Color-Based Segmentation, Markov Random Fields and Multilayer Perceptron. Computer-Aided Analysis of Gastrointestinal Videos. Springer International Publishing. http://doi.org/10.1007/978-3-030-64340-9_5ISBNIsPartOf978-3-030-64339-3DOIIsPartOf10.1007/978-3-030-64340-9_5EISBNIsPartOf978-3-030-64340-92023-06-05T09:34:55Z20212023-05-30T15:14:30Z2021-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/84890http://purl.org/coar/access_right/c_abf2open accesshttps://sdgs.un.org/goalsSustainable Development Goals (SDG)Saúde de qualidade203345 bytesliteraturehttp://purl.org/coar/resource_type/c_3248book parthttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorium.uminho.pt/bitstreams/6530ce49-497a-4fb0-b382-a9e1222f7fe0/download |
| spellingShingle | Combination of color-based segmentation, Markov random fields and multilayer perceptron Vieira, Pedro Miguel Saúde de qualidade |
| status | SINGLETON |
| subject.other.fl_str_mv | Saúde de qualidade |
| title | Combination of color-based segmentation, Markov random fields and multilayer perceptron |
| title_full | Combination of color-based segmentation, Markov random fields and multilayer perceptron |
| title_fullStr | Combination of color-based segmentation, Markov random fields and multilayer perceptron |
| title_full_unstemmed | Combination of color-based segmentation, Markov random fields and multilayer perceptron |
| title_short | Combination of color-based segmentation, Markov random fields and multilayer perceptron |
| title_sort | Combination of color-based segmentation, Markov random fields and multilayer perceptron |
| topic | Saúde de qualidade |
| topic_facet | Saúde de qualidade |
| url | https://hdl.handle.net/1822/84890 |
| visible | 1 |