Multiple Instance Learning Using 3D Features for Melanoma Detection-Reference-Cited by-同舟云学术

Multiple Instance Learning Using 3D Features for Melanoma Detection

Published:2022 Issue: Volume:10 Page:76296-76309
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pereira Pedro M. M.¹^ORCID,Thomaz Lucas A.¹^ORCID,Tavora Luis M. N.¹^ORCID,Assuncao Pedro A. A.¹^ORCID,Fonseca-Pinto Rui¹,Paiva Rui Pedro²^ORCID,Faria Sergio M. M.¹^ORCID

Affiliation:

1. Instituto de Telecomunicações, Morro do Lena—Alto do Vieiro, Leiria, Portugal

2. Department of Informatics Engineering, Centre for Informatics and Systems, University of Coimbra, Pinhal de Marrocos, Coimbra, Portugal

Funder

Fundação para a Ciência e a Tecnologia (FCT), Portugal, through Ph.D. work

Programa Operacional Regional do Centro, PlenoISLA

FCT/MCTES through National Funds through the European Union (EU) Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09832874.pdf?arnumber=9832874

Reference65 articles.

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4. Iterative single data algorithm for training kernel machines from huge data sets: Theory and performance;kecman;Support Vector Machines Theory and Applications,2005

5. Multiple-instance learning for natural scene classification;maron;Proc Int Conf Mach Learn,1998

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