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About Mia-Unet: Multi-Scale Iterative Aggregation U-Network For Retinal Vessel Segmentation
This document summarizes a research paper on retinal vessel segmentation using a novel deep learning model called MIA-UNet. The MIA-UNet aims to accurately segment retinal vessels for medical diagnosis while having low computational complexity to work on mobile devices. It improves on the U-Net model by redesigning the connections between the encoder and decoder, and between decoder sub-networks, to better aggregate multi-scale feature maps. Experimental results on three public datasets show the MIA-UNet achieves state-of-the-art segmentation accuracy while only a small increase in parameters compared to U-Net. The model aims to perform analysis on mobile devices to prevent privacy leaks that could occur from uploading data to the cloud.
Detailed Information
| Author: | ['tsureda1290'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 24 |
| Language: | English |
| Format: | |
| Price: | FREE |
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