Ultrasonic image quality quantitative evaluation method

This invention describes a method to automatically measure the quality of a specific area within an ultrasound image. It works by first outlining the area of interest in the image. Then, it compares this outline to the actual image data using several mathematical measures like error rates and structural similarity, specifically defined as a Dice coefficient. These measurements are then fed into a trained computer program that outputs a score indicating the quality of that specific area.

Why it matters: The rapid evolution of machine learning models and accessible training frameworks since 2023 could significantly enhance the classifier's accuracy and robustness. This makes building and training the system more efficient and potentially more effective now.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, machine learning model training, image processing.

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