Improved African vultures optimization algorithm for medical image segmentation-Reference-Cited by-同舟云学术

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Improved African vultures optimization algorithm for medical image segmentation

Published:2023-10-21 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Lan Lin,Wang Shengsheng^ORCID

Funder

National Key Research and Development Program of China

Innovation Capacity Construction Project of Jilin Province Development and Reform Commission

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17189-6.pdf

Reference46 articles.

1. Si T, Patra DK, Mondal S, Mukherjee P (2022) Breast DCE-MRI segmentation for lesion detection using Chimp Optimization Algorithm. Expert Syst Appl 204:117481. https://doi.org/10.1016/j.eswa.2022.117481

2. Maguolo G, Nanni L (2021) A critic evaluation of methods for COVID-19 automatic detection from X-ray images. Inf Fusion 76:1–7. https://doi.org/10.1016/j.inffus.2021.04.008

3. Ismael AM, Şengür A (2021) Deep learning approaches for COVID-19 detection based on chest X-ray images. Expert Syst Appl 164:114054. https://doi.org/10.1016/j.eswa.2020.114054

4. Hemdan EE-D, Shouman MA, Karar ME (2020) COVIDX-Net: A framework of deep learning classifiers to diagnose COVID-19 in X-ray images. https://doi.org/10.48550/ARXIV.2003.11055

5. Khorram B, Yazdi M (2019) A new optimized thresholding method using ant colony algorithm for MR brain image segmentation. J Digit Imaging 32:162–174. https://doi.org/10.1007/s10278-018-0111-x

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1. A complex-valued encoding golden jackal optimization for multilevel thresholding image segmentation;Applied Soft Computing;2024-11

2. Swin-TransUper: Swin Transformer-based UperNet for medical image segmentation;Multimedia Tools and Applications;2024-04-02

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