Timely Diagnosis of Acute Lymphoblastic Leukemia Using Artificial Intelligence-Oriented Deep Learning Methods

<div>Confusion matrix analyses of the proposed model representing TP, TN, FP, and FN ratio obtained from the testing dataset of (a) ResNet-50, (b) VGG-16, and (c) proposed convolutional neural network.</div>

Computational Intelligence and Neuroscience

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Figure 6

Figure 6: Timely Diagnosis of Acute Lymphoblastic Leukemia Using Artificial Intelligence-Oriented Deep Learning Methods 