About PolypVision
Empowering Early Detection with AI
Welcome to PolypVision, an AI-powered platform dedicated to supporting medical professionals with cutting-edge tools for the detection and classification of colorectal polyps.
Using advanced Convolutional Neural Networks (CNNs) and state-of-the-art deep learning techniques, PolypVision helps distinguish between adenomatous and hyperplastic polyps with high accuracy, enabling faster and more informed clinical decisions.
Our platform currently offers two powerful AI tools:
- Polyp Classifier - Classifies polyps as adenomatous or hyperplastic
- Polyp Segmentor - Precisely outlines polyp boundaries in colonoscopy images
We're committed to continuous improvement and have ambitious plans for future development:
- Real-time polyp localization and tracking
- Polyposis risk analysis and prediction
- Clinical decision support systems for surgeons
- Integration with hospital information systems
- Multi-modal data analysis (imaging + patient history)
PolypVision is built by a passionate team of AI researchers, software engineers, and healthcare collaborators working toward a smarter, faster, and more accessible medical future.
Our Mission
To democratize access to advanced AI-powered polyp detection tools, empowering healthcare professionals worldwide to detect colorectal cancer earlier and save lives.
Our Vision
A future where AI-assisted diagnostics are standard in every gastroenterology clinic, reducing missed detections and improving patient outcomes globally.
Meet the Team
Dr.Hamidreza Bolhassani
Lead AI Researcher
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DR.Mojgan Frooten
Medical Advisor
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Amirmohammad Akbari
Lead Software Engineer
Full-stack developer specializing in AI deployment
Hamid Reza Rastad
AI engineer and Data scientist
Expert in deep learning and medical imaging datasets and ML vision models
10,000+
Medical Images Analyzed
94%
Classification Accuracy
500+
Active Users
24/7
AI Model Availability