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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Detalles Bibliográficos
Autores principales: Pintelas, Emmanuel, Liaskos, Meletis, Livieris, Ioannis E., Kotsiantis, Sotiris, Pintelas, Panagiotis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321040/
https://www.ncbi.nlm.nih.gov/pubmed/34460583
http://dx.doi.org/10.3390/jimaging6060037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321040/
https://www.ncbi.nlm.nih.gov/pubmed/34460583
http://dx.doi.org/10.3390/jimaging6060037

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