Non-invasive anaemia detection based on palm pallor video using tree-structured 3D CNN and vision transformer models-Reference-Cited by-同舟云学术

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Non-invasive anaemia detection based on palm pallor video using tree-structured 3D CNN and vision transformer models

Published:2024-01-08 Issue: Volume: Page:1-29
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Kesarwani Abhishek¹^ORCID,Das Sunanda¹,Kisku Dakshina Ranjan¹^ORCID,Dalui Mamata¹

Affiliation:

1. Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2023.2301401

Reference50 articles.

1. Non-Invasive Estimation of Hemoglobin Using a Multi-Model Stacking Regressor

2. A Novel Real-Time Non-invasive Hemoglobin Level Detection Using Video Images from Smartphone Camera

3. Detection of anemia using conjunctiva images: A smartphone application approach

4. ViViT: A Video Vision Transformer

5. Iron deficiency anemia detection using machine learning models: A comparative study of fingernails, palm and conjunctiva of the eye images

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