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pro vyhledávání: '"Chuquimia Orlando"'
Akademický článek
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Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems
IEEE Transactions on Biomedical Circuits and Systems, Institute of Electrical and Electronics Engineers, 2020, 14 (4), pp.646-657. ⟨10.1109/TBCAS.2020.3008458⟩
IEEE Transactions on Biomedical Circuits and Systems, Institute of Electrical and Electronics Engineers, 2020, 14 (4), pp.646-657. ⟨10.1109/TBCAS.2020.3008458⟩
International audience; We propose a new paradigm of a smart wireless endoscopic capsule (WCE) that has the ability to select suspicious images containing a polyp before sending them outside the body. To do so, we have designed an image processing sy
Autor:
Chuquimia, Orlando
Publikováno v:
Imagerie médicale. Sorbonne Université, 2019. Français
Imagerie médicale. Sorbonne Université, 2019. Français. ⟨NNT : 2019SORUS192⟩
Imagerie médicale. Sorbonne Université, 2019. Français. ⟨NNT : 2019SORUS192⟩
CCR is the second highest cause of death by cancer worldwide with 880,792 deaths in 2018 and a mortality rate of 47.6%. 95% of CCR cases begin with the presence of a growth on the inner lining of the colon or the rectum, called a polyp. Multiple type
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7fc745f348c2e554870c51b5d27b6961
https://tel.archives-ouvertes.fr/tel-02494557
https://tel.archives-ouvertes.fr/tel-02494557
Publikováno v:
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), Oct 2019, Nara, Japan. pp.1-4, ⟨10.1109/BIOCAS.2019.8919016⟩
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), Oct 2019, Nara, Japan. pp.1-4, ⟨10.1109/BIOCAS.2019.8919016⟩
International audience; In this paper, an image processing to detect polyps in an intelligent Wireless Capsule Endoscopy (WCE) is presented. This processing will be integrated into the WCE. It is a new screening method to detect colorectal cancer (CR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bcbe380821287df0cdb4c98f13ecf608
https://hal.archives-ouvertes.fr/hal-02495524/document
https://hal.archives-ouvertes.fr/hal-02495524/document
Publikováno v:
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), Oct 2019, Nara, Japan. pp.1-4, ⟨10.1109/BIOCAS.2019.8919052⟩
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), Oct 2019, Nara, Japan. pp.1-4, ⟨10.1109/BIOCAS.2019.8919052⟩
International audience; To reduce the incidence of colorectal cancer (CRC), we propose a new paradigm of Wireless Capsule Endoscopy (WCE) that recognizes polyps in-situ. We embed an image processing chain in a System on Chip (SoC) that uses the Hough
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::c7d184c414f17323d0ff9327598c6441
https://hal.archives-ouvertes.fr/hal-02495530/document
https://hal.archives-ouvertes.fr/hal-02495530/document
Publikováno v:
BioCAS
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), Oct 2019, Nara, Japan. pp.1-4, ⟨10.1109/BIOCAS.2019.8919052⟩
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), Oct 2019, Nara, Japan. pp.1-4, ⟨10.1109/BIOCAS.2019.8919052⟩
International audience; To reduce the incidence of colorectal cancer (CRC), we propose a new paradigm of Wireless Capsule Endoscopy (WCE) that recognizes polyps in-situ. We embed an image processing chain in a System on Chip (SoC) that uses the Hough
Autor:
Chuquimia, Orlando, Garbay, Thomas, Xu, Weiqin, Pinna, Andrea, Dray, Xavier, Sahbi, Hichem, Granado, Bertrand
Publikováno v:
Journées d'Etude sur la TéléSanté
Journées d'Etude sur la TéléSanté, Sorbonne Universités, May 2019, Paris, France
Journées d'Etude sur la TéléSanté, Sorbonne Universités, May 2019, Paris, France
International audience; Screening is a method to improve the earlydetection of colorectal cancer. Now, screening is basedon an immunochemical test that look for blood in faecalsamples, but image is the best modality to detect themarker of colorectal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::150f9776219882dd2ab5af098855058e
https://hal.archives-ouvertes.fr/hal-02161071/file/JetSan2019.pdf
https://hal.archives-ouvertes.fr/hal-02161071/file/JetSan2019.pdf
Publikováno v:
DASIP
DASIP 2018-Conference on Design and Architectures for Signal and Image Processing
DASIP 2018-Conference on Design and Architectures for Signal and Image Processing, Oct 2018, Porto, Portugal
DASIP 2018-Conference on Design and Architectures for Signal and Image Processing
DASIP 2018-Conference on Design and Architectures for Signal and Image Processing, Oct 2018, Porto, Portugal
Hough Transform is a widely used shape-based algorithm for object detection and localization [6], this technique can be generalized to parametric curves as circles. For a real time execution and embedded integration, several optimizations are necessa
Publikováno v:
13ème Colloque du GDR SoC/SiP 2018
13ème Colloque du GDR SoC/SiP 2018, Jun 2018, Paris, France
13ème Colloque du GDR SoC/SiP 2018, Jun 2018, Paris, France
International audience; In this article, we present our work on our processing chain to realize a Wireless Capsule Endoscopy (WCE) including a Smart Vision Chip (SVC). We obtain a sensitivity of 74.87% and a specificity of 88.31% on a large database,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::522925281261a1f11575e064c8c23448
https://hal.archives-ouvertes.fr/hal-02089846/document
https://hal.archives-ouvertes.fr/hal-02089846/document
Publikováno v:
13ème Colloque du GDR SoC/SiP 2018
13ème Colloque du GDR SoC/SiP 2018, Jun 2018, Paris, France
13ème Colloque du GDR SoC/SiP 2018, Jun 2018, Paris, France
International audience; In this article, we present our work on our processing chain to realize a Wireless Capsule Endoscopy (WCE) including a Smart Vision Chip (SVC). We obtain a sensitivity of 74.87% and a specificity of 88.31% on a large database,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::522925281261a1f11575e064c8c23448
https://hal.archives-ouvertes.fr/hal-02089846/document
https://hal.archives-ouvertes.fr/hal-02089846/document