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Found 5 papers, 4 papers with code
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion
A total of 6 teams from 4 countries participated, whose proposed methods were evaluated on 16 images and two preoperative 3D models from two patients.
Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications
This study empirically investigates unpaired image translation methods for generating suitable data in surgical applications, explicitly focusing on semantic consistency.
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data
However for transfer from simulated to photorealistic sequences, available information on the underlying geometry offers potential for achieving global consistency across views.
Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model
In this work, we train a convolutional neural network to perform both the search for surface correspondences as well as the non-rigid registration in one step.
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation
We show that this data set can be used to train models for the task of liver segmentation of laparoscopic images.
