Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices

Author:

Ali Owais1,Ali Hazrat1ORCID,Shah Syed Ayaz Ali1ORCID,Shahzad Aamir1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. FireDL: A novel framework for fire detection and localization suitable for memory constrained IoT devices;Multimedia Tools and Applications;2023-12-06

3. EdgeMedNet: Lightweight and Accurate U-Net for Implementing Efficient Medical Image Segmentation on Edge Devices;IEEE Transactions on Circuits and Systems II: Express Briefs;2023-12

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5. Impact of a generalised SVG-based large-scale super-resolution algorithm on the design of light-weight medical image segmentation DNNs;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-10-11

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