Sickle Cell Classification Using Deep Learning-Reference-Cited by-同舟云学术

Sickle Cell Classification Using Deep Learning

Published:2023-06-23 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Intelligent Technologies (CONIT)
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Author:

Goswami Neelankit Gautam¹,Goswami Anushree²,Sampathila Niranjana¹,Bairy G. Muralidhar¹

Affiliation:

1. Manipal Institute of Technology,Manipal Academy of Higher Education (MAHE),Department of Biomedical Engineering,Manipal,576140

2. D.Y. Patil Deemed to be University,School of Biotechnology and Bioinformatics,Navi Mumbai,400614

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10205372/10205375/10205802.pdf?arnumber=10205802

Reference17 articles.

1. Healthy and unhealthy red blood cell detection in human blood smears using neural networks

2. Identification of Sickle Cell Anemia Using Deep Neural Networks

3. Classification of red blood cells in sickle cell anemia using deep convolutional neural network;alzubaidi;Intelligent Systems Design deep convolutional neural network " in Intelligent Systems Design and Applications 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018),2018

4. A deep convolutional neural network for classification of red blood cells in sickle cell anemia

5. Implementation a Various Types of Machine Learning Approaches for Biomedical Datasets based on Sickle Cell Disorder

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