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About Fully Automated 3D Colon Segmentation and Volume Rendering in Virtual Reality
This document describes a system for fully automated 3D colon segmentation and volume rendering in virtual reality from MRI images. The system uses a U-Net convolutional neural network for pixel-wise segmentation of colon regions. It then generates a 3D rendered visualization of the segmented colon within a virtual reality environment using an HTC Vive headset. The system is evaluated on an MRI dataset from a patient with Crohn's disease, demonstrating segmentation accuracy comparable to inter-reader variability. The authors believe the system could help doctors more easily identify colon areas, support surgical planning, and facilitate doctor-patient communication through 3D printing models.
Detailed Information
| Author: | ['Jamil Al-idrus'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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