Artificial Intelligence and Myocardial Contrast Enhancement Pattern

Tang, Fang; Bai, Chen; Zhao, Xinying; Yuan, Wei-Feng

doi:10.1007/s11886-020-01306-0

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…The critical task at hand is to establish a model that can effectively learn the best optimal solution even when provided with limited samples. Through the utilization of migration learning, it becomes feasible to transfer valuable information from prior ML models to novel models, resulting in a reduction in the required data resources for DL [ 39 ].…”

Section: Utilizing Machine Learning For the Diagnosis Of Chest Pain T...mentioning

confidence: 99%

Cardiac Magnetic Resonance Imaging (CMRI) Applications in Patients with Chest Pain in the Emergency Department: A Narrative Review

Zareiamand,

Darroudi,

Mohammadi

et al. 2023

Diagnostics

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CMRI is the exclusive imaging technique capable of identifying myocardial edema, endomyocardial fibrosis, pericarditis accompanied by pericardial effusions, and apical thrombi within either the left or right ventricle. In this work, we examine the research literature on the use of CMRI in the diagnosis of chest discomfort, employing randomized controlled trials (RCTs) to evaluate its effectiveness. The research outlines the disorders of the chest and the machine learning approaches for detecting them. In conclusion, the study ends with an examination of a fundamental illustration of CMRI analysis. To find a comprehensive review, the Scopus scientific resource is analyzed. The issue, based on the findings, is to distinguish ischemia from non-ischemic cardiac causes of chest pain in individuals presenting with sudden chest pain or discomfort upon arrival at the emergency department (ED). Due to the failure of conventional methods in accurately diagnosing acute cardiac ischemia, individuals are still being inappropriately discharged from the ED, resulting in a heightened death rate.

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Section: Utilizing Machine Learning For the Diagnosis Of Chest Pain T...mentioning

confidence: 99%

Cardiac Magnetic Resonance Imaging (CMRI) Applications in Patients with Chest Pain in the Emergency Department: A Narrative Review

Zareiamand,

Darroudi,

Mohammadi

et al. 2023

Diagnostics

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show abstract

“…Ada cukup banyak teknik analisis tekstur. Yang paling umum adalah statistik orde pertama, GLCM metode yang digunakan untuk mengekstrak sembilan tekstur [15], [16]. Pendekatan ini akan membantu untuk mengekstrak fitur daun yang berguna meningkatkan akurasi klasifikasi daun sehingga didapat hasil identifikasi jenis penyakit yang menyerang.…”

Section: Pendahuluanunclassified

Identifikasi Penyakit Tanaman Ubi Kayu Berdasarkan Citra Daun Menggunakan Metode Probabilistic Neural Network (PNN)

Sari

Alkaff

Rahman

2021

JKKI

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Cassava or better known as cassava is one of the staples of rice which is popular in Indonesia. Cassava plants can flourish in almost all regions of Indonesia. However, cassava is a plant that is susceptible to plant disease, which attacks the disease resulting in a decrease in the amount of productivity of tubers produced by cassava plants. The application of identifying cassava disease based on leaf image is expected to be useful as a support for cassava farming in easily detecting cassava disease, so that it can be dealt with more quickly. This study uses the Gray Level Co-occurrence Matrix (GLCM) method as an extraction feature and the Probabilistic Neural Network (PNN) method for identification processes. Based on the results of tests on 6 types of cassava leaf images, obtained an accuracy of 83.33%.

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Recent Progress of Cardiac MRI for Nuclear Medicine Professionals

Choe,

Kim

2024

Nucl Med Mol Imaging

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Artificial Intelligence and Myocardial Contrast Enhancement Pattern

Cited by 5 publications

References 36 publications

Cardiac Magnetic Resonance Imaging (CMRI) Applications in Patients with Chest Pain in the Emergency Department: A Narrative Review

Cardiac Magnetic Resonance Imaging (CMRI) Applications in Patients with Chest Pain in the Emergency Department: A Narrative Review

Identifikasi Penyakit Tanaman Ubi Kayu Berdasarkan Citra Daun Menggunakan Metode Probabilistic Neural Network (PNN)

Recent Progress of Cardiac MRI for Nuclear Medicine Professionals

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