Automated knee bone segmentation and visualisation using mask RCNN and marching cube: Data from the osteoarthritis initiative
In this work, an automated knee bone segmentation model is proposed. A mask region-based convolutional neural network (RCNN) algorithm is developed to segment the bone and reconstructed into 3D object by using Marching-Cube algorithm. The proposed method is divided into two stages. First, the Mask R...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Akademi Sains Malaysia
2022
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/101146/1/MuhammadHanifRamlee2022_AutomatedKneeBoneSegmentationandVisualisation.pdf |