scholarly journals Best Paper Selection

2018 ◽  
Vol 27 (01) ◽  
pp. 113-113
Keyword(s):  
Neural Network ◽  
Lung Cancer ◽  
Deep Learning ◽  
Neural Network Model ◽  
Skeletal Maturity ◽  
Low Complexity ◽  
Noise Detection ◽  
Healthcare Monitoring ◽  
Deep Learning Neural Network ◽  
Hand Radiographs

Bote JM, Recas J, Rincon F, Atienza D, Hermida R. A modular low-complexity ECG delineation algorithm for real-time embedded systems. IEEE J Biomed Health Inform 2018;22(2):429-41 https://dx.doi.org/10.1109/JBHI.2017.2671443 Grossmann P, Stringfield O, El-Hachem N, Bui MM, Rios Velazquez E, Parmar C, Leijenaar RT, Haibe-Kains B, Lambin P, Gillies RJ, Aerts HJ. Defining the biological basis of radiomic phenotypes in lung cancer. ELife 2017;6:e23421 https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/28731408/ Larson DB, Chen MC, Lungren MP, Halabi SS, Stence NV, Langlotz CP. Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs. Radiology 2018; 287(1):313-22 http://pubs.rsna.org/doi/10.1148/radiol.2017170236?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed Satija U, Ramkumar B, Manikandan MS. Automated ECG noise detection and classification system for unsupervised healthcare monitoring. IEEE J Biomed Health Inform 2018;22(3):722-32 https://dx.doi.org/10.1109/JBHI.2017.2686436

scholarly journals Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

Radiology ◽  
2018 ◽  
Vol 287 (1) ◽  
pp. 313-322 ◽  
Author(s):  
David B. Larson ◽  
Matthew C. Chen ◽  
Matthew P. Lungren ◽  
Safwan S. Halabi ◽  
Nicholas V. Stence ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Skeletal Maturity ◽  
Deep Learning Neural Network ◽  
Hand Radiographs

scholarly journals Using deep learning neural network model to solve the problems of classification of unwanted content in social media

2021 ◽  
pp. 56-62
Author(s):  
А.С. Бобин
Keyword(s):  
Neural Network ◽  
Social Media ◽  
Deep Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Classification Problems ◽  
Deep Learning Neural Network

При решении задач классификации с использование глубокого обучения сталкиваются с проблемой сходимости модели. Такая проблема возникает из за ограниченного объема данных в выборках. When solving classification problems using deep learning, they face the problem of model convergence. This problem occurs due to the limited amount of data in the samples.

scholarly journals Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model

iScience ◽  
2020 ◽  
Vol 23 (3) ◽  
pp. 100886 ◽  
Author(s):  
Tsai-Min Chen ◽  
Chih-Han Huang ◽  
Edward S.C. Shih ◽  
Yu-Feng Hu ◽  
Ming-Jing Hwang
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Cardiac Arrhythmias ◽  
Deep Learning Neural Network

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

CATENA ◽  
2020 ◽  
Vol 188 ◽  
pp. 104451 ◽  
Author(s):  
Dong Van Dao ◽  
Abolfazl Jaafari ◽  
Mahmoud Bayat ◽  
Davood Mafi-Gholami ◽  
Chongchong Qi ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Landslide Susceptibility ◽  
Spatially Explicit ◽  
Deep Learning Neural Network
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