Summary of H-fcbformer Hierarchical Fully Convolutional Branch Transformer For Occlusal Contact Segmentation with Articulating Paper, by Ryan Banks et al.
H-FCBFormer Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper
by Ryan Banks, Bernat Rovira-Lastra, Jordi Martinez-Gomis, Akhilanand Chaurasia, Yunpeng Li
First submitted to arxiv on: 10 Jul 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Hierarchical Fully Convolutional Branch Transformer (H-FCBFormer) model is a multiclass Vision Transformer and Fully Convolutional Network ensemble semantic segmentation model that detects occlusal contacts with high accuracy. The model uses a combination hierarchical loss function to improve performance. To train the model, the authors propose generating medically true positive semantic segmentation masks derived from expert annotated articulating paper masks and gold standard masks. The H-FCBFormer outperforms other machine learning methods in detecting medically true positive contacts and accurately identifying object-wise occlusal contact areas, while also taking significantly less time to identify them compared to dentists. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers created a new model to help dentists detect where the upper and lower teeth meet, called occlusal contacts. This is important for people who have lost some of their natural teeth or had false ones put in. The current way of doing this is by using special paper that can show how well the teeth fit together, but this method has problems. To fix this, the researchers made a new model that uses artificial intelligence and computer vision to analyze pictures of teeth. This model is called Hierarchical Fully Convolutional Branch Transformer (H-FCBFormer). It’s better at detecting where the teeth meet than other methods and even faster than dentists! |
Keywords
» Artificial intelligence » Convolutional network » Loss function » Machine learning » Semantic segmentation » Transformer » Vision transformer
