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Resultats globals: 2 registres trobats en 0.02 segons.
Articles, 2 registres trobats

Articles	2 registres trobats

21 p, 13.4 MB

Polyp Segmentation with Fully Convolutional Deep Neural Networks-Extended Evaluation Study / Guo, Yunbo (University of Central Lancashire) ; Bernal del Nozal, Jorge (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; J. Matuszewski, Bogdan (University of Central Lancashire)
Analysis of colonoscopy images plays a significant role in early detection of colorectal cancer. Automated tissue segmentation can be useful for two of the most relevant clinical target applications-lesion detection and classification, thereby providing important means to make both processes more accurate and robust. [...]
2020 - DOI (Digital Object Identifier)

10.3390/jimaging6070069
Journal of Imaging, Vol. 6, Num. 7 (July 2020) , art. 69

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2 p, 73.4 KB

Polyp Localization and Segmentation in Colonoscopy Images by Means of a Model of Appearance for Polyps / Bernal del Nozal, Jorge, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Colorectal cancer is the fourth most common cause of cancer death worldwide and its survival rate depends on the stage in which it is detected on hence the necessity for an early colon screening. There are several screening techniques but colonoscopy is still nowadays the gold standard, although it has some drawbacks such as the miss rate. [...]
2014 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.594
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 9-10

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