Polyp Segmentation

Detects abnormal growth in the large Intestine, using Colonoscopy images.

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Objectives

Improve Diagnostic Accuracy Automate Segmentation Increase Efficiency

Socio-Economic Benefit

Reduced HealthCare Cost Improved Patient Outcomes Increased Accessibility in Medical Practices

Methodologies

Data Collection Double U Net Architecture ResUNet Architecture

Outcome

Improved Polyp Detection Reduced Diagnostic Errors Enhanced Clinical Workflow

Project Team Members

Registration# Name
CU-1532-2020 Afrand Yar
CU-1156-2020 Muhammad Saqib
CU-346-2018 Muhammad Zubair

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