Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Adrián Inés"'
Autor:
Ángela Casado-García, César Domínguez, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Eloy Mata, Vico Pascual
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-14 (2019)
Abstract Background Deep learning techniques have been successfully applied to bioimaging problems; however, these methods are highly data demanding. An approach to deal with the lack of data and avoid overfitting is the application of data augmentat
Externí odkaz:
https://doaj.org/article/6d20978a08e24b708bfacfad33e8202b
Autor:
Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata
Publikováno v:
Computer Aided Systems Theory – EUROCAST 2022 ISBN: 9783031253119
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee5f43ea10c8960708dfaf2e83a963ab
https://doi.org/10.1007/978-3-031-25312-6_52
https://doi.org/10.1007/978-3-031-25312-6_52
Autor:
Adrián Inés Armas, César Domínguez Pérez, Jónathan Heras Vicente, Eloy Javier Mata Sotés, María Vico Pascual Martínez-Losa
Publikováno v:
RIUR. Repositorio Institucional de la Universidad de La Rioja
instname
instname
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::843fa555927f607ba5ab1308caeb9553
https://investigacion.unirioja.es/documentos/628e7209a659e14253bf896d
https://investigacion.unirioja.es/documentos/628e7209a659e14253bf896d
Autor:
Didac Royo, Miguel A Zapata, Jónathan Heras, Adrián Inés, Ángela Casado-García, Manuel García-Domínguez
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783030857127
CAEPIA
RIUR. Repositorio Institucional de la Universidad de La Rioja
instname
CAEPIA
RIUR. Repositorio Institucional de la Universidad de La Rioja
instname
An epiretinal membrane (ERM) is an eye disease that can lead to visual distortion and, in some cases, to loss of vision. Screening retinal fundus images allows ophthalmologists to early detect and diagnose this disease; however, the manual interpreta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f4e9ddd168c6cf693aa0b70dee4e753
https://investigacion.unirioja.es/documentos/616108a00e85073089e37aa1
https://investigacion.unirioja.es/documentos/616108a00e85073089e37aa1
Publikováno v:
Computer methods and programs in biomedicine. 198
Background and objectives Deep learning techniques are the state-of-the-art approach to solve image classification problems in biomedicine; however, they require the acquisition and annotation of a considerable volume of images. In addition, using de
Autor:
Eloy Mata, Ángela Casado-García, Vico Pascual, César Domínguez, Yolanda Sáenz, Adrián Inés, Manuel García-Domínguez, Gabriela Chichón, Jónathan Heras, María López
Publikováno v:
Computers in Biology and Medicine. 136:104673
Background and objectives Infectious diseases produced by antimicrobial resistant microorganisms are a major threat to human, and animal health worldwide. This problem is increased by the virulence and spread of these bacteria. Surface motility has b
Publikováno v:
Computer Aided Systems Theory – EUROCAST 2019 ISBN: 9783030450953
EUROCAST (2)
EUROCAST (2)
Image classification is a computer vision task that has several applications in diverse fields like security, biology or medicine; and, currently, deep learning techniques have become the state-of-the-art to create image classification models. This g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::333be2aeaddcf7073bc32e306f9b54a7
https://doi.org/10.1007/978-3-030-45096-0_32
https://doi.org/10.1007/978-3-030-45096-0_32
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319996073
DCAI (Special Sessions)
DCAI (Special Sessions)
Nowadays, deep learning techniques are playing an important role in different areas due to the fast increase in both computer processing capacity and availability of large amount of data. Their applications are diverse in the field of bioimage analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eab1d8ce8a2a040f0c234aead68ca9b
https://doi.org/10.1007/978-3-319-99608-0_40
https://doi.org/10.1007/978-3-319-99608-0_40
Publikováno v:
Computers in biology and medicine. 108
Background and objective Deep learning techniques have been successfully applied to tackle several image classification problems in bioimaging. However, the models created from deep learning frameworks cannot be easily accessed from bioimaging tools
Publikováno v:
RIUR. Repositorio Institucional de la Universidad de La Rioja
instname
Computer Aided Systems Theory – EUROCAST 2017 ISBN: 9783319747262
EUROCAST (2)
instname
Computer Aided Systems Theory – EUROCAST 2017 ISBN: 9783319747262
EUROCAST (2)
Object detection is an area of computer vision with applications in several contexts such as biomedicine and security; and it is currently growing thanks to the availability of datasets of images, and the use of deep learning techniques. In order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::247541cc58129010736e6eca0c1e7e40
https://investigacion.unirioja.es/documentos/5bbc67e4b750603269e7ff6c
https://investigacion.unirioja.es/documentos/5bbc67e4b750603269e7ff6c