Gallbladder Polyp Classification System and Method Thereof

Deep Learning-Based System for Gallbladder Polyp Classification from Abdominal Ultrasound Images

This technology is a gallbladder polyp classification system that uses an ensemble model, trained on labeled abdominal ultrasound images, to classify gallbladder polyps as neoplastic or non-neoplastic.

Accurately distinguishing between neoplastic and non-neoplastic gallbladder polyps is crucial for deciding on cholecystectomy, but has been difficult.

This technology collects and trains on abdominal ultrasound images, classifying new polyps using an ensemble of multiple prediction models, thereby improving the accuracy of gallbladder polyp classification.

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Key Features:

• Labeled Gallbladder Polyp Abdominal Ultrasound Image Acquisition Module
• Data Generation Module for Ensemble Model Input
• Model Training Module for Gallbladder Polyp Classification
• Classification Module for New Polyps (Neoplastic/Non-neoplastic)