Impact of a generalised SVG-based large-scale super-resolution algorithm on the design of light-weight medical image segmentation DNNs-Reference-Cited by-同舟云学术

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Impact of a generalised SVG-based large-scale super-resolution algorithm on the design of light-weight medical image segmentation DNNs

Published:2023-10-11 Issue: Volume: Page:1-9
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Esfandiarkhani Mina¹,Foruzan Amir Hossein¹

Affiliation:

1. Department of Biomedical Engineering, Engineering Faculty, Shahed University, Tehran, Iran

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2266008

Reference40 articles.

1. Semantic Segmentation Guided Real-World Super-Resolution

2. A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery

3. Energy choices in Alaska: Mining people's perception and attitudes from geotagged tweets

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

5. Modified U-NET Architecture for Segmentation of Skin Lesion

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1. Correction;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-11-14

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