CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19-Reference-Cited by-同舟云学术

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CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19

Published:2023 Issue: Volume:37 Page:101156
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Ornob Tareque Rahman^ORCID,Roy Gourab,Hassan Enamul

Publisher

Elsevier BV

Subject

Health Informatics

Reference37 articles.

1. Coronavirus Statistics - worldometer [internet]. n.d. “Worldometers.info;COVID Live,2022

2. The newly emerged COVID-19 disease: a systemic review;Abebe;Virol J,2020

3. A deep learning algorithm using CT images to screen for corona virus disease (COVID-19);Wang;Eur Radiol,2021

4. Sensitivity of chest CT for COVID-19: comparison to RT-PCR;Fang;Radiology,2020

5. Predicting skull fractures via CNN with classification algorithms;Emon,2022

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study;Pattern Analysis and Applications;2024-06-11

2. Post-COVID highlights: Challenges and solutions of artificial intelligence techniques for swift identification of COVID-19;Current Opinion in Structural Biology;2024-04

3. Children Hematopoietic Stem Cell Transplant Survival Status Prediction using Machine Learning;2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS);2023-11-16

4. DFU-Helper: An Innovative Framework for Longitudinal Diabetic Foot Ulcer Diseases Evaluation Using Deep Learning;Applied Sciences;2023-09-14

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