iArunava/Malaria-Detection-using-Keras
Malaria Detection using Deep Learning from Images made available publicly from NIH
Implements a ResNet50 architecture trained from scratch on binary cell classification (parasitized vs. uninfected) using Keras, with inference capabilities for single images or batch processing. Includes production deployment via Zeit's serverless platform with a live web interface for real-time predictions on user-uploaded cell images.
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Language
Python
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MIT
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Dec 21, 2018
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