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About Automatic Cephalometric Landmark Detection On X-Ray Images Using A Deep-Learning Method
This document proposes a two-step method for automatically detecting cephalometric landmarks on X-ray images using deep learning. The method first roughly locates landmarks by registering test images to training images. It then extracts regions of interest around the landmarks and uses a pretrained convolutional neural network (ResNet50) to detect the precise landmark locations in each region. The method is evaluated on two datasets and achieves satisfactory results compared to other state-of-the-art methods. However, computational time remains an issue to be improved.
Detailed Information
| Author: | ['Oussema Gazzeh'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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