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Design of inception ResNet V2 for detecting malarial infection using the cell image captured from microscopic slide

  • Published:2023-06-27 Issue: Volume: Page:1-12
  • ISSN:1368-2199
  • Container-title:The Imaging Science Journal
  • language:en
  • Short-container-title:The Imaging Science Journal

Author:

Mayil Vel Kumar P.1,Venaik Anita2,Shanmugaraja P.3,John Augustine P.4,Madiajagan M.5

Affiliation:

1. Department of Computer Science and Engineering, Karpagam Institute of Technology, Coimbatore, India

2. Department of General Management, Amity Business School, Amity University, Noida, India

3. Department of Information Technology, Sona College of Technology, Salem, India

4. Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India

5. School of Computer Science and Engineering, Vellore Institute of Technology, Katpadi, Vellore, India

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Reference20 articles.

1. Recent progress in electrochemical sensors for detection and quantification of malaria

2. Kumar S, Priya S, Kumar A. (2023). Malaria detection using Deep Convolution Neural Network. arXiv preprint arXiv:2303.03397.

3. Gold-Immobilized Photonic Crystal Fiber-Based SPR Biosensor for Detection of Malaria Disease in Human Body

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