Recent Advances on Convolutional Architectures in Medical Applications: Classical or Quantum?-Reference-Cited by-同舟云学术

Recent Advances on Convolutional Architectures in Medical Applications: Classical or Quantum?

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
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Author:

Al-jumaili Saif¹,Al-jumaili Ahmed²,Alyassri Salam¹,Duru Adil Deniz³,Ucan Osman Nuri¹

Affiliation:

1. Electrical and Computer Engineering, Altinbas University,Istanbul,Turkey

2. College of Medical Sciences Techniques, University of Mashreq,Baghdad,Iraq

3. Marmara University,Neuroscience and Psychology Research in Sports Lab,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9932444/9932651/09932857.pdf?arnumber=9932857

Reference81 articles.

1. An integrated framework for COVID ‐19 classification based on classical and quantum transfer learning from a chest radiograph

2. Quantum machine learning architecture for COVID-19 classification based on synthetic data generation using conditional adversarial neural network;amin;Cognitive Computation,2021

3. Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images

4. A Novel MRI Diagnosis Method for Brain Tumor Classification Based on CNN and Bayesian Optimization;amou;HealthcarePapers,2022

5. Quantum transfer learning for breast cancer detection

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