aniketpatilanalyst/Disease-Prediction-Model
Prediction Model on Cell Images for Detecting Malaria
This project helps medical professionals quickly identify malaria in patient samples. By inputting microscopic images of blood cells, it automatically classifies them as either 'infected' or 'uninfected' with malaria. It's designed for laboratory technicians, medical diagnosticians, or researchers analyzing blood smears.
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Use this if you need an automated tool to classify microscopic blood cell images for the presence of malaria, reducing manual inspection time.
Not ideal if you require a diagnostic tool for diseases other than malaria or if you need to analyze data types other than cell images.
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Last pushed
Oct 01, 2020
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