Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Joan Massich"'
1
Akademický článek
Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images
Autor: Khaled Alsaih, Guillaume Lemaitre, Mojdeh Rastgoo, Joan Massich, Désiré Sidibé, Fabrice Meriaudeau
Publikováno v: BioMedical Engineering OnLine, Vol 16, Iss 1, Pp 1-12 (2017)
Abstract Background Spectral domain optical coherence tomography (OCT) (SD-OCT) is most widely imaging equipment used in ophthalmology to detect diabetic macular edema (DME). Indeed, it offers an accurate visualization of the morphology of the retina
Externí odkaz: https://doaj.org/article/37b9ae935ff044e78947376b246d4f1f
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2
Akademický článek
Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection
Autor: Guillaume Lemaître, Mojdeh Rastgoo, Joan Massich, Carol Y. Cheung, Tien Y. Wong, Ecosse Lamoureux, Dan Milea, Fabrice Mériaudeau, Désiré Sidibé
Publikováno v: Journal of Ophthalmology, Vol 2016 (2016)
This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with DME versus normal subjects. Optical Coherence Tomography (OCT) has been a valuable diagnostic tool for DME
Externí odkaz: https://doaj.org/article/b136f032e23940b49990ef75e168f5c6
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3
An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images
Autor: Guillaume Lematre, Mojdeh Rastgoo, Joan Massich, Carol Y. Cheung, Dan Milea, Tien Yin Wong, Shrinivasan Sankar, Dsir Sidib, Ecosse L. Lamoureux, Fabrice Mriaudeau, Gavin Tan
Publikováno v: Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine, Elsevier, 2017, 139, pp.109-117. 〈10.1016/j.cmpb.2016.11.001〉
Computer Methods and Programs in Biomedicine, Elsevier, 2017, 139, pp.109-117. ⟨10.1016/j.cmpb.2016.11.001⟩
We propose a method to detect abnormal B-scans in SD-OCT volumes.We develop an anomaly detection approach for classification of SD-OCT volumes.The proposed method achieves high sensitivity and specificity compared to other supervised classification m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bfd00742faeb8e4b856352d2bbf5f44
https://doi.org/10.1016/j.cmpb.2016.11.001
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5
Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images
Autor: Désiré Sidibé, Khaled Alsaih, Mojdeh Rastgoo, Fabrice Meriaudeau, Guillaume Lemaitre, Joan Massich
Publikováno v: BioMedical Engineering
BioMedical Engineering OnLine, BioMed Central, 2017, ⟨10.1186/s12938-017-0352-9⟩
BioMedical Engineering OnLine, Vol 16, Iss 1, Pp 1-12 (2017)
BioMedical Engineering OnLine, BioMed Central, 2017, 〈https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-017-0352-9〉. 〈10.1186/s12938-017-0352-9 〉
Background Spectral domain optical coherence tomography (OCT) (SD-OCT) is most widely imaging equipment used in ophthalmology to detect diabetic macular edema (DME). Indeed, it offers an accurate visualization of the morphology of the retina as well
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fed01c07d2b5cd6751ccc66a83c654d
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01565981
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6
Classifying DME vs Normal SD-OCT volumes: A review
Autor: Carol Y. Cheung, Mojdeh Rastgoo, Joan Massich, Guillaume Lemaitre, Désiré Sidibé, Fabrice Meriaudeau, Tien Yin Wong
Publikováno v: 23rd International Conference on Pattern Recognition
23rd International Conference on Pattern Recognition, Dec 2016, Cancun, Mexico
ICPR
International audience; This article reviews the current state of automatic classification methodologies to identify Diabetic Macular Edema (DME) versus normal subjects based on Spectral Domain OCT (SD-OCT) data. Addressing this classification proble
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::843d8aa48c4fd0605e9b6ed94f3ffd07
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01376469/file/main(11).pdf
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7
Normalization of T2W-MRI Prostate Images using Rician a priori
Autor: Joan C. Vilanova, Mojdeh Rastgoo, Guillaume Lemaitre, Fabrice Meriaudeau, Joan Massich, Anke Meyer-Baese, Robert Martí, Paul Walker, Jordi Freixenet
Publikováno v: SPIE Medical Imaging
SPIE Medical Imaging, Feb 2016, San Diego, United States
Medical Imaging: Computer-Aided Diagnosis
International audience; Prostate cancer is reported to be the second most frequently diagnosed cancer of men in the world. In practise, diagnosis can be affected by multiple factors which reduces the chance to detect the potential lesions. In the las
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d531e972ea0fbbf093728c96af2b897
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01265774/document
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8
Wood fiber orientation assessment based on punctual laser beam excitation: A preliminary study
Autor: Robert Collet, Guillaume Pot, Christophe Stolz, Olivier Aubreton, Joan Massich, Guillaume Lemaitre, Fabrice Meriaudeau, Vincent Daval, Mohamed Belkacemi
Publikováno v: 13th Quantitative Infrared Thermography Conference (QIRT)
13th Quantitative Infrared Thermography Conference (QIRT), Jul 2016, Gdansk, Poland
International audience; The EU imposes standards for the use of wood in structural applications. Local singularities such as knots affect the wood mechanical properties. They can be revealed by looking at the wood fiber orientation. For this reason,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cea8a9d1eac7a96436d04d8d8e85360
https://doi.org/10.21611/qirt.2016.007
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9
Tackling the Problem of Data Imbalancing for Melanoma Classification
Autor: Fabrice Meriaudeau, Rafael Garcia, Mojdeh Rastgoo, Joan Massich, Guillaume Lemaitre, Olivier Morel, Franck Marzani
Publikováno v: Contribucions a Congressos (D-ATC)
DUGiDocs – Universitat de Girona
instname
Bioimaging
Bioimaging, Feb 2016, Rome, Italy
BIOIMAGING
Recercat. Dipósit de la Recerca de Catalunya
Comunicació de congrés presentada a: 3rd International Conference on Bioimaging, BIOIMAGING 2016 - Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016, Roma, Italy Malignant melanoma is the mo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7518e15a8c4b979b8ab7026c7d2eff2
http://hdl.handle.net/10256/17715
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10
Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection
Autor: Désiré Sidibé, Ecosse L. Lamoureux, Fabrice Meriaudeau, Guillaume Lemaitre, Carol Y. Cheung, Joan Massich, Dan Milea, Mojdeh Rastgoo, Tien Yin Wong
Publikováno v: American Journal of Ophthalmology
American Journal of Ophthalmology, Elsevier Masson, 2016, 2016, pp.1-14. 〈https://www.hindawi.com/journals/joph/2016/3298606/〉. 〈10.1155/2016/3298606〉
American Journal of Ophthalmology, Elsevier Masson, 2016, 2016, pp.1-14. ⟨10.1155/2016/3298606⟩
Journal of Ophthalmology
Journal of Ophthalmology, Hindawi Publishing Corporation, 2016, 2016
Journal of Ophthalmology, Vol 2016 (2016)
International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Optical Coherence Tomography
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d18bbf3cd43ee577681227a6d2b71352
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01430668
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