Barnacles Mating Optimizer with Deep Transfer Learning Enabled Biomedical Malaria Parasite Detection and Classification
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Barnacles Mating Optimizer with Deep Transfer Learning Enabled Biomedical Malaria Parasite Detection and Classification
Authors
Keywords
-
Journal
Computational Intelligence and Neuroscience
Volume 2022, Issue -, Pages 1-12
Publisher
Hindawi Limited
Online
2022-06-02
DOI
10.1155/2022/7776319
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images
- (2022) David Opeoluwa Oyewola et al. APPLIED ARTIFICIAL INTELLIGENCE
- Neighbor Correlated Graph Convolutional Network for multi-stage malaria parasite recognition
- (2022) Xiangjie Meng et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Residual attention learning network and SVM for malaria parasite detection
- (2022) Daiyi Li et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Improving the Survival Time of Multiagents in Social Dilemmas through Neurotransmitter-Based Deep Q-Learning Model of Emotions
- (2022) Awais Hassan et al. Journal of Healthcare Engineering
- Automated Detection of Alzheimer’s via Hybrid Classical Quantum Neural Networks
- (2022) Tayyaba Shahwar et al. Electronics
- Deep Malaria Parasite Detection in Thin Blood Smear Microscopic Images
- (2021) Asma Maqsood et al. Applied Sciences-Basel
- Semi-automatic liver tumor segmentation with adaptive region growing and graph cuts
- (2021) Zhen Yang et al. Biomedical Signal Processing and Control
- Using deep learning to identify recent positive selection in malaria parasite sequence data
- (2021) Wouter Deelder et al. MALARIA JOURNAL
- Efficient Algorithms for E-Healthcare to Solve Multiobject Fuse Detection Problem
- (2021) Ijaz Ahmad et al. Journal of Healthcare Engineering
- The Development of Machine Learning Methods in Discriminating Secretory Proteins of Malaria Parasite
- (2021) Ting Liu et al. CURRENT MEDICINAL CHEMISTRY
- A brief survey of Machine Learning Methods in Identification of Mitochondria Proteins in Malaria Parasite
- (2020) Ting Liu et al. CURRENT PHARMACEUTICAL DESIGN
- Deep Learning Based Automatic Malaria Parasite Detection from Blood Smear and Its Smartphone Based Application
- (2020) K. M. Faizullah Fuhad et al. Diagnostics
- Leveraging Deep Learning Techniques for Malaria Parasite Detection Using Mobile Application
- (2020) Mehedi Masud et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Machine learning model for predicting malaria using clinical information
- (2020) You Won Lee et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset
- (2020) Aimon Rahman et al. TISSUE & CELL
- Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems
- (2019) Mohd Herwan Sulaiman et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Image analysis and machine learning for detecting malaria
- (2018) Mahdieh Poostchi et al. Translational Research
- Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
- (2018) Sivaramakrishnan Rajaraman et al. PeerJ
- Extreme Learning Machine (ELM)-Based Classification of Benign and Malignant Cells in Breast Cancer
- (2018) Abdullah Toprak MEDICAL SCIENCE MONITOR
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation