Hybrid Metaheuristics With Deep Learning-Based Fusion Model for Biomedical Image Analysis
Biomedical image analysis has played a pivotal role in modern healthcare by facilitating automated analysis and interpretation of medical images. Biomedical image classification is the process of automatically labelling or categorizing medical images based on their content. In recent years, this fie...
Main Authors: | Marwa Obayya, Muhammad Kashif Saeed, Nuha Alruwais, Saud S. Alotaibi, Mohammed Assiri, Ahmed S. Salama |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10288439/ |
Similar Items
-
Accelerating biomedical image segmentation using equilibrium optimization with a deep learning approach
by: Eman A. Al-Shahari, et al.
Published: (2024-01-01) -
Biomedical Image Analysis for Colon and Lung Cancer Detection Using Tuna Swarm Algorithm With Deep Learning Model
by: Marwa Obayya, et al.
Published: (2023-01-01) -
Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images
by: Sultan Refa Alotaibi, et al.
Published: (2025-02-01) -
Hybrid attention mechanism of feature fusion for medical image segmentation
by: Shanshan Tong, et al.
Published: (2024-01-01) -
Editorial: Advances in biomedical image segmentation and analysis using deep learning
by: Michalis A. Savelonas, et al.
Published: (2024-11-01)