Construction of Malaria Disease Prediction System using Deep Learning-Reference-Cited by-同舟云学术

Construction of Malaria Disease Prediction System using Deep Learning

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)
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Author:

Sivakumar J¹,D Sudhagar²,V T Vithya³,R Jaichandran⁴,Raju K. Narasimha⁵,Ganesh C. S. Sundar⁶

Affiliation:

1. St.Joseph'sCollegeof Engineering,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

2. Jerusalem College of Engineering,Department of Information Technology,Chennai,Tamil Nadu,India,600100

3. R.M.K. College of Engineering and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India,601206

4. AarupadaiVeedu Institute of Technology, Vinayaka Mission's Research Foundation,Department of Computer Science and Engineering,Paiyanoor,Tamil Nadu,India,603104

5. Gayatri Vidya Parishad College of Engineering,Department of Computer Science and Engineering,Visakhapatnam,Andhra Pradesh,India,530048

6. Karpagam College of Engineering,Department of Electrical and Electronics Engineering,Coimbatore,Tamil Nadu,India,641032

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10028980/10028739/10029004.pdf?arnumber=10029004

Reference22 articles.

1. A new approach for microscopic diagnosis of malaria parasites in thick blood smears using pre-trained deep learning models

2. Faster r-cnn: Towards real-time object detection with region proposal networks;ren;Advances in neural information processing systems,2015

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

4. Bibliography of Studies on Women and Gender in China since 2008

5. Automated Detection of Malaria Parasites on Thick Blood Smears via Mobile Devices