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Identification of Leukemia Subtypes from Microscopic Images Using Convolutional Neural Network
203
Zitationen
4
Autoren
2019
Jahr
Abstract
-nearest neighbor, and decision tree. To evaluate our approach, we set up a set of experiments and used 5-fold cross-validation. The results we obtained from experiments showed that our CNN model performance has 88.25% and 81.74% accuracy, in leukemia versus healthy and multiclass classification of all subtypes, respectively. Finally, we also showed that the CNN model has a better performance than other wellknown machine learning algorithms.
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