Project detail
Colon Cancer Segmentation and Detection Using YOLO-UNet Hybrid Architecture
January 2024 – August 2024
Completed
AI/ML
Designed and implemented a novel hybrid deep learning approach combining YOLO object detection with UNet segmentation for precise identification and delineation of colonic lesions in endoscopic imagery.
Technologies
Python
YOLO
UNet
PyTorch
GAN
Medical Imaging
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