About this document

Uro Net by nischaymalhotra966 is a document available to read on EtoBox.

UroNet is an explainable deep learning framework designed for classifying clinical urine test images into Positive, Negative, and Uncertain categories, achieving nearly 90% accuracy. The model utilizes EfficientNetB0 with transfer learning and various image preprocessing techniques to enhance performance and reliability. The framework shows potential for improving laboratory diagnostics by automating urine culture image analysis and providing insights into the model

Author

nischaymalhotra966

Language

EN