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About Topology Guaranteed Segmentation of The Human Retina From OCT Using Convolutional Neural Networks
1. The document presents a method for segmenting layers in retinal OCT images using convolutional neural networks in a way that guarantees the correct topological ordering of the layers. 2. It uses a two-step approach with a first network (S-Net) that performs pixel-wise segmentation and a second network (R-Net) that takes S-Net's results and outputs layer thicknesses, ensuring non-negative and summed values that guarantee the correct layer ordering. 3. Evaluation shows the method achieves comparable boundary error to state-of-the-art graph methods, providing topology-guaranteed segmentation in a single feedforward pass.
Detailed Information
| Author: | ['usman khan'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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