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U-Net object segmentation model trained on surgery snapshots from YouTube

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OpNet

opnet_problem statement

Project Goal

• Develop an object segmentation algorithm to automatically identify challenging anatomical structures to facilitate surgeons.

opnet_obj_segmentation

Solution

We developed OpNet, a convolutional neural network trained on images mined from YouTube to identify the borders of blood vessels and nerves.

opnet_schematic

Deliverables: • We presented this solution in the Sling Health Incubator 2021 Demo Day and provide the code in GitHub.

opnet_model_accuracy

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