A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
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Updated
Jul 22, 2020 - Jupyter Notebook
A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
This code trains a CNN in Keras to classify cell images (infected/uninfected). It sets up data generators, defines model architecture with convolutional layers, applies regularization, configures callbacks, and trains the model for binary classification.
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