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Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction

Image classification is a very popular machine learning domain in which deep convolutional neural networks have mainly emerged on such applications. These networks manage to achieve remarkable performance in terms of prediction accuracy but they are considered as black box models since they lack the...

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Principais autores: Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panagiotis Pintelas
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-05-01
coleção:Journal of Imaging
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Acesso em linha:https://www.mdpi.com/2313-433X/6/6/37
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