Breast Cancer Segmentation in Mammograms using Antlion Optimization and CNN/GRU Architectures-Reference-Cited by-同舟云学术

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Breast Cancer Segmentation in Mammograms using Antlion Optimization and CNN/GRU Architectures

Published:2024-05-27 Issue: Volume:15 Page:1030-1035
ISSN:
Container-title:2024 International Wireless Communications and Mobile Computing (IWCMC)
language:
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Author:

Khdhir Radhia¹,Othmen Salwa²,Belghith Aymen³,Alamri Jamilah⁴

Affiliation:

1. Jouf University Gurayat,College of Science and Arts in Gurayat,Department of Computer Science,Saudi Arabia

2. University of Tabuk Tabuk,Faculty of Computers and Information Technology,Department of Information Technology,Saudi Arabia

3. Northern Border University Arar,College of Science and Arts in Turaif,Computers and Information Technology Department,Saudi Arabia

4. Saudi Electronic University Riyadh,College of Informatics and Computing,Computer Science Department,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592105/10592309/10592614.pdf?arnumber=10592614

Reference13 articles.

1. Medical image analysis based on deep learning approach

2. Convolutional neural networks in medical image understanding: a survey;Sarvamangala;Evolutionary Intelligence,2022

3. A Modified Ant Lion Optimization Method and Its Application for Instance Reduction Problem in Balanced and Imbalanced Data;El Bakrawy;Axioms,2022

4. A Novel Exponential-Weighted Method of the Antlion Optimization Algorithm for Improving the Convergence Rate;Chen;Processes,2022

5. An Efficient Hybrid of an Ant Lion Optimizer and Genetic Algorithm for a Model Parameter Identification Problem;Roeva;Mathematics,2023

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