MI-CSBO: a hybrid system for myocardial infarction classification using deep learning and Bayesian optimization-Reference-Cited by-同舟云学术

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MI-CSBO: a hybrid system for myocardial infarction classification using deep learning and Bayesian optimization

Published:2024-07-24 Issue: Volume: Page:1-10
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Gül Evrim¹,Diker Aykut²,Avcı Engin³,Doğantekin Akif⁴

Affiliation:

1. Department of Emergency Medicine, Fırat University, Elazig, Turkey

2. Department of Software Engineering, Bandırma Onyedi Eylül University, Balıkesir, Turkey

3. Department of Software Engineering, Fırat University, Elazig, Turkey

4. Gaziantep Emek Hospital, Gaziantep, Turkey

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2024.2382817

Reference35 articles.

1. Detection and Localization of Myocardial Infarction using K-nearest Neighbor Classifier

2. A dataset and benchmark for malaria life-cycle classification in thin blood smear images

3. Classification of myocardial infarction with multi-lead ECG signals and deep CNN

4. Acute myocardial infarction

5. Detection of acute coronary occlusion in patients with acute coronary syndromes presenting with isolated ST-segment depression

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