EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT Images-Reference-Cited by-同舟云学术

EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT Images

Published:2023 Issue: Volume:11 Page:142711-142724
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kivrak Tarik¹,Nayak Jagadish²,Gelen Mehmet Ali¹,Barua Prabal Datta³^ORCID,Baygin Mehmet⁴^ORCID,Pamukcu Hilal Erken⁵,Dogan Sengul⁶^ORCID,Tuncer Turker⁶^ORCID,Acharya U. Rajendra⁷^ORCID

Affiliation:

1. Department Cardiology, Fırat University Hospital, Fırat University, Elâzıǧ, Turkey

2. Electrical and Electronics Engineering Department, Birla Institute of Technology and Science Pilani, Dubai Campus, Dubai, United Arab Emirates

3. School of Business (Information System), University of Southern Queensland, Springfield, QLD, Australia

4. Department of Computer Engineering, Faculty of Engineering and Architecture, Erzurum Technical University, Erzurum, Turkey

5. Department of Cardiology, Etlik Education and Training Hospital, Ankara, Turkey

6. Department of Digital Forensics Engineering, Technology Faculty, Fırat University, Elâzıǧ, Turkey

7. School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10336792.pdf?arnumber=10336792

Reference37 articles.

1. Treatment of pulmonary hypertension

2. Treatment Goals of Pulmonary Hypertension

3. The new haemodynamic definition of pulmonary hypertension: evidence prevails, finally!

4. Pulmonary Hypertension: A Brief Guide for Clinicians

5. Pulmonary vascular disease and pulmonary hypertension