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Thursday, January 9 • 1:30pm - 2:00pm
Real time Pose Estimation in Surgery

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3d Pose estimation using image-recognition-derived neural network architectures was explored as a means to accurately track in real-time selected surgical instruments and patient anatomy during surgery. The underlying problems are presented, current results, and future directions of research towards minimizing model sizes and incorporation into holographic devices discussed.

Topic: Real-time Pose Estimation in Surgery
Time: Jan 9, 2020 01:30 PM Central Time (US and Canada)

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Meeting ID: 522 305 474


Abdul Mukit

Graduate Student

Thursday January 9, 2020 1:30pm - 2:00pm CST
Nicholson Tower, OUHSC 5th Floor, Room C Mark Everett Dr, Oklahoma City, OK 73104, USA

Attendees (2)