Intelligent algorithm for detection of dengue using mobilenetv2‐based deep features with lymphocyte nucleus-Reference-Cited by-同舟云学术

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Intelligent algorithm for detection of dengue using mobilenetv2‐based deep features with lymphocyte nucleus

Published:2021-11-30 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Mayrose Hilda¹^ORCID,Sampathila Niranjana¹^ORCID,Bairy G. Muralidhar¹^ORCID,Belurkar Sushma²,Saravu Kavitha³^ORCID,Basu Akash¹^ORCID,Khan Saman¹

Affiliation:

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

2. Department of Pathology KMC, Manipal Academy of Higher Education (MAHE) Manipal India

3. Department of Infectious diseases KMC, Manipal Academy of Higher Education (MAHE) Manipal India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12904

Reference60 articles.

1. BARF: A new direct and cross‐based binary residual feature fusion with uncertainty‐aware module for medical image classification;Abdar M.;Information Sciences,2021

2. Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal

3. An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters

4. Recent computational methods for white blood cell nuclei segmentation: A comparative study

5. Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

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