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What is Colorimetric Analysis Using Machine Learning about?
The presentation discusses the development of a smartphone-based colorimetric detection system for point-of-care testing, focusing on the detection of albumin as an early indicator of chronic kidney disease. It highlights the advantages of using machine learning and convolutional neural networks for image processing and classification, achieving high accuracy with algorithms like Random Forest and XG Boost. Future plans include applying deep learning models to actual datasets and improving image segmentatio
- Author
- sudhanshusingh0501
- Language
- EN