An accurate and interpretable model for BCCT.core

dc.contributor.author Hélder Filipe Oliveira en
dc.contributor.author Jaime Cardoso en
dc.contributor.author André Magalhães en
dc.contributor.author Maria João Cardoso en
dc.date.accessioned 2017-11-16T12:56:06Z
dc.date.available 2017-11-16T12:56:06Z
dc.date.issued 2010 en
dc.description.abstract Breast Cancer Conservative Treatment (BCCT) is considered nowadays to be the most widespread form of locorregional breast cancer treatment. However, aesthetic results are heterogeneous and difficult to evaluate in a standardized way. The limited reproducibility of subjective aesthetic evaluation in BCCT motivated the research towards objective methods. A recent computer system (BCCT.core) was developed to objectively and automatically evaluate the aesthetic result of BCCT. The system is centered on a support vector machine (SVM) classifier with a radial basis function (RBF) used to predict the overall cosmetic result from features computed on a digital photograph of the patient. However, this classifier is not ideal for the interpretation of the factors being used in the prediction. Therefore, an often suggested improvement is the interpretability of the model being used to assess the overall aesthetic result. In the current work we investigate the accuracy of different interpretabl en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/1879
dc.language eng en
dc.relation 4921 en
dc.relation 5075 en
dc.relation 3889 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title An accurate and interpretable model for BCCT.core en
dc.type conferenceObject en
dc.type Publication en
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