COVID-19 Detection In Chest X-Rays Using Inception Resnet-v2-Reference-Cited by-同舟云学术

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COVID-19 Detection In Chest X-Rays Using Inception Resnet-v2

Published:2021-10-27 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Artificial Intelligence and Big Data Analytics
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Author:

Badrahadipura Raihan¹,Nur Septi Syachrul Qolbi²,Fachrel Julio¹,Yulita Intan Nurma²,Pravitasari Anindya Apriliyanti¹,Agustian Dwi³

Affiliation:

1. Universitas Padjadjaran,Department of Statistics,Bandung,Indonesia

2. Universitas Padjadjaran,Research Center for Artificial Intelligence and Big Data,Bandung,Indonesia

3. Universitas Padjadjaran,Faculty of Medicine,Deptartment of Public Health,Bandung,Indonesia

Funder

Universitas Padjadjaran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9688570/9689693/09689723.pdf?arnumber=9689723

Reference21 articles.

1. Deep learning;lecun;Nature,2015

2. Deep belief networks

3. Gradient-based learning applied to document recognition;lécun;Proc IEEE,2001

4. Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation

5. A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

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1. Socio-economic Challenges in COVID Detection using Transfer Learning-Based Methods;WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS;2024-05-07

2. A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image;Applied Sciences;2023-12-08

3. Enhancing an Imbalanced Lung Disease X-ray Image Classification with the CNN-LSTM Model;Applied Sciences;2023-07-15

4. Impacts of ResNet Skip Connection levels on Inception Convolutional Neural Network using Different Resized Images in Object Recognition;2023 International Electrical Engineering Congress (iEECON);2023-03-08

5. Dog Breed Classification using Inception-ResNet-V2;2023 International Conference for Advancement in Technology (ICONAT);2023-01-24

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