An Enhanced Classification of Bacteria Pathogen on Microscopy Images Using Deep Learning
Author:
Affiliation:
1. Universiti Malaysia,Faculty of Electrical and Electronics Engineering Technology,Pahang,Malaysia
2. Universitas Ahmad Dahlan,Dept. Electrical Engineering,Indonesia
3. School of Medical Sciences, Universiti Sains Malaysia,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9702758/9702759/09702809.pdf?arnumber=9702809
Reference16 articles.
1. Combining Deep Convolutional Neural Network with Support Vector Machine to Classify Microscopic Bacteria Images
2. An Automated Deep Learning Approach for Bacterial Image Classification;talo;International Conference on Advanced Technologies Computer Engineering and Science (ICATCES2019),0
3. Rapid Detection of Bacteria Using Raman Spectroscopy and Deep Learning
4. A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor
Cited by 7 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. Imaging Histopathology of Breast Cancer for Detection;2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2024-05-19
2. Classification of Bacteria from Agar Plate Using Deep Learning and Image Processing;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18
3. A Comparative Study of CNN Trainings for the Detection of E. Coli, P. Aeruginosa and S. Aureus: A Raspberry Pi-Based Prototype;2023 IEEE 41st Central America and Panama Convention (CONCAPAN XLI);2023-11-08
4. Machine learning algorithms in microbial classification: a comparative analysis;Frontiers in Artificial Intelligence;2023-10-19
5. A Hybrid Approach for Classifying Drug-Resistant Microscopic Species;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3