Working in a project "AI-augmented Oocyte Retrieval for Assisted Reproductive Technologies (AI4ART)", providing research and technical assistance.
Needle Tracking: Utilized the YOLOv8 model for tracking needle for IVF oocyte retrieval.
Developed deep learning pipelines for oocyte follicle segmentation using UNet and SAM model from ultrasound imagery.
Conducted preprocessing, annotation, and augmentation of medical image datasets.
Optimized segmentation accuracy using traditional deep learning approaches and got Dice Score of 0.82 and 0.82 with UNet and SAM model respectively.
Keywords: Medical Imaging, Deep Learning, Image Segmentation, Python, OpenCV, Pytorch
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