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Found 7 papers, 3 papers with code
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection
The main evaluation metric available comes from Multi-object tracking (MOT) methods to benchmark performance on datasets such as KITTI with the recently proposed higher order tracking accuracy (HOTA) metric, which is capable of providing a better description of the performance over metrics such as MOTA, DetA, and IDF1.
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements
To support minimally-invasive intraoperative mitral valve repair, quantitative measurements from the valve can be obtained using an infra-red tracked stylus.
Point detection through multi-instance deep heatmap regression for sutures in endoscopy
Method: In this work, we formulate the suture detection task as a multi-instance deep heatmap regression problem, to identify entry and exit points of sutures.
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
In this use case, it is of paramount importance to display objects like needles, sutures or instruments consistent in both domains while altering the style to a more tissue-like appearance.
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
Mitral valve repair is a surgery to restore the function of the mitral valve.
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
Such concepts are able to generate realistic representations of phantoms learned from real intraoperative endoscopic sequences.
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries
Though, application of this approach to continuous video frames can result in flickering, which turned out to be especially prominent for this application.
Computers and Society
