Finding a signature in dermoscopy: A color normalization proposal
Finding a signature in dermoscopy: A color normalization proposal
| dc.contributor.author | Marlene Silva Machado | en |
| dc.contributor.author | Pereira,J | en |
| dc.contributor.author | Silva,M | en |
| dc.contributor.author | Fonseca Pinto,R | en |
| dc.date.accessioned | 2018-01-16T18:45:07Z | |
| dc.date.available | 2018-01-16T18:45:07Z | |
| dc.date.issued | 2017 | en |
| dc.description.abstract | Digital image methodologies related with Melanoma has become in the past years a major support for differential diagnosis in skin cancer. Computer Aided Diagnosis (CAD) systems, encompassing image acquisition, artifact removal, detection and selection of features, highlight Machine Learning algorithms as a novel strategy towards a digital assisted diagnosis in Dermatology. © 2017 Croatian Society MIPRO. | en |
| dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/6496 | |
| dc.identifier.uri | http://dx.doi.org/10.23919/mipro.2017.7973433 | en |
| dc.language | eng | en |
| dc.relation | 6843 | en |
| dc.rights | info:eu-repo/semantics/embargoedAccess | en |
| dc.title | Finding a signature in dermoscopy: A color normalization proposal | en |
| dc.type | conferenceObject | en |
| dc.type | Publication | en |
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