GitHub / mdhabibi / Transparent-Malaria-Detection-CNN-CAM-LIME

Enhanced CNN model for malaria cell classification featuring Class Activation Mapping (CAM) for anomaly localization and LIME for interpretability, ensuring high accuracy and transparent AI diagnostics.

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Commits: 73
Authors: 2
Mean commits per author: 36.5
Development Distribution Score: 0.027
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Topics: binary-classification, class-activation-maps, convolutional-neural-networks, cv2, deep-learning, explainable-ai, interpretable-machine-learning, keras-tensorflow, lime, tuning-parameters

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