Malaria Detection Using Convolutional Neural Networks: A Comparative Study-Reference-Cited by-同舟云学术

Malaria Detection Using Convolutional Neural Networks: A Comparative Study

Published:2023-10-10 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA)
language:
Short-container-title:

Author:

Almuhaya Basheer¹,Mohammed Rehab²,Mohammed Ahmed²,Saha Bishal¹

Affiliation:

1. School of CSE Lovely Professional University,Phagwara,Punjab,India,144411

2. Taiz University,Software Engineering Dept,Taiz,Yemen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10293182/10293222/10293488.pdf?arnumber=10293488

Reference38 articles.

1. Malaria detection using deep residual networks with mobile microscopy

2. Automatic Lymph Node Classification with Convolutional Neural Network

3. Malaria Detection Using Convolutional Neural Network

4. Cross Validation Analysis of Convolutional Neural Network Variants with Various White Blood Cells Datasets for the Classification Task;safuan;BioMedical Engineering OnLine Journal,2022

5. Leveraging Deep Learning Techniques for Malaria Parasite Detection Using Mobile Application

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Kidney Disease Classification and Diagnosis: A Comprehensive Review of Current AI Techniques;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

2. Imaging Modalities in Brain Cancer Detection and Diagnosis;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

3. Advances in Feature Extraction for Brain Cancer Analysis: A Review of Traditional, Machine Learning, and Deep Learning Approaches;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

4. Comparative Analysis of Machine Learning Algorithms for Arabic Sentiment Analysis on Imbalanced Social Media Data;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

5. The Era of Industry 5.0: An Overview of Technologies, Applications, and Challenges;Lecture Notes on Data Engineering and Communications Technologies;2024