The Menopause Kit Result Classification project focuses on automating the analysis of early menopause detection kits. It aims to accurately interpret the test results by detecting and classifying the number of lines present on the kit.
The system employs image processing techniques to identify and classify the number of lines displayed on the menopause detection kit. It recognizes:
One Line: Indicates a negative result for menopause detection.
Two Lines: Signifies a positive result for early menopause detection.
Additional Cases: Handling of cases involving unclear or unusual line patterns for further analysis or manual review.
Line Detection Algorithm: Utilizes computer vision algorithms to precisely identify and classify the number of lines on the menopause kit.
Automated Interpretation: Provides automated classification of results based on the detected lines, minimizing manual intervention.
Reporting and Analysis: Generates reports for detected results and handles edge cases for further analysis or review by healthcare professionals.
This classification system finds application in healthcare settings, specifically aiding in early menopause detection. It streamlines the interpretation process, allowing for timely and accurate results.