Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable Features

White Blood Cell (WBC) Leukaemia is detected through image-based classification. Convolutional Neural Networks are used to learn the features needed to classify images of cells a malignant or healthy. However, this type of model requires learning a large number of parameters and is difficult to inte...

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Bibliographische Detailangaben

1. Verfasser:	Lamberti, William Franz
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
Online-Zugang:	Volltext bestellen
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