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A deep analysis on high resolution dermoscopic image classification

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A deep analysis on high resolution dermoscopic image classification

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Pollastri, F.; Parreño Lara, M.; Maroñas-Molano, J.; Bolelli, F.; Paredes Palacios, R.; Ramos, D.; Grana, C. (2021). A deep analysis on high resolution dermoscopic image classification. IET Computer Vision. 15(7):514-526. https://doi.org/10.1049/cvi2.12048

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/189374

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Title: A deep analysis on high resolution dermoscopic image classification
Author: Pollastri, Federico Parreño Lara, Mario Maroñas-Molano, Juan Bolelli, Federico Paredes Palacios, Roberto Ramos, Daniel Grana, Costantino
Issued date:
Abstract:
[EN] Convolutional neural networks (CNNs) have been broadly employed in dermoscopic image analysis, mainly as a result of the large amount of data gathered by the International Skin Imaging Collaboration (ISIC). As in many ...[+]
Copyrigths: Reconocimiento (by)
Source:
IET Computer Vision. (issn: 1751-9632 )
DOI: 10.1049/cvi2.12048
Publisher:
Institution of Electrical Engineers
Publisher version: https://doi.org/10.1049/cvi2.12048
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098091-B-I00/ES/APRENDIZAJE PROFUNDO EN VOZ PARA APLICACIONES FORENSES Y DE SEGURIDAD/
info:eu-repo/grantAgreement/UPV//825,111/
info:eu-repo/grantAgreement/GVA//IDIFEDER%2F2018%2F025//SISTEMAS DE FABRICACIÓN INTELIGENTES PARA LA INDUSTRIA 4.0/
Thanks:
Juan Maroñas is supported by grant FPI-UPV, grant agreement No 825,111 DeepHealth Project, and by the Spanish National Ministry of Education through grant RTI2018-098091-B-I00. The research leading to these results has ...[+]
Type: Artículo

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