Cargando…
RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Myocarditis is heart muscle inflammation that is becoming more prevalent these days, especially with the prevalence of COVID-19. Noninvasive imaging cardiac magnetic resonance (CMR) can be used to diagnose myocarditis, but the interpretation is time-consuming and requires expert physicians. Computer...
Autores principales: | Moravvej, Seyed Vahid, Alizadehsani, Roohallah, Khanam, Sadia, Sobhaninia, Zahra, Shoeibi, Afshin, Khozeimeh, Fahime, Sani, Zahra Alizadeh, Tan, Ru-San, Khosravi, Abbas, Nahavandi, Saeid, Kadri, Nahrizul Adib, Azizan, Muhammad Mokhzaini, Arunkumar, N., Acharya, U. Rajendra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262570/ https://www.ncbi.nlm.nih.gov/pubmed/35833074 http://dx.doi.org/10.1155/2022/8733632 |
Ejemplares similares
-
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
por: Khozeimeh, Fahime, et al.
Publicado: (2021) -
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
por: Sharifrazi, Danial, et al.
Publicado: (2021) -
Factors associated with mortality in hospitalized cardiovascular disease patients infected with COVID‐19
por: Alizadehsani, Roohallah, et al.
Publicado: (2022) -
RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance
por: Khozeimeh, Fahime, et al.
Publicado: (2022) -
Identification of Clinical Features Associated with Mortality in COVID-19 Patients
por: Eskandarian, Rahimeh, et al.
Publicado: (2023)