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Final Year Project • In ProgressComputer VisionDeep LearningMedical AIResearch
Colorectal Polyp Temporal Validation
Research-focused computer vision project investigating temporal validation of colorectal polyp detection across video/endoscopic frames, with the goal of developing a robust temporal evaluation pipeline for medical AI.
🔬 Currently working on this project and preparing a research paper.
Architecture
Endoscopic video frame sequence
Frame-level object detection & tracking
Temporal consistency evaluation layer
Temporal validation metrics pipeline
Results
Currently actively working on this project and preparing a research paper.
Developing a benchmark evaluation methodology for video-based temporal polyp validation.
Challenges
Frame-to-frame temporal inconsistency in video inference
Inter-frame motion artifacts in endoscopic camera streams
Balancing spatial precision with temporal stability across frames
Future Improvements
Completing research paper submissionComprehensive video benchmark evaluationIntegration with real-time clinical video streams