Search Results - "Tan, Jen Hong"

Automated Characterization of Fatty Liver Disease and Cirrhosis Using Curvelet Transform and Entropy Features Extracted from Ultrasound Images by Acharya, U Rajendra, Raghavendra, U, Fujita, Hamido, Hagiwara, Yuki, Koh, Joel EW, Hong, Tan Jen, Sudarshan, Vidya K, Vijayananthan, Anushya, Yeong, Chai Hong, Gudigar, Anjan, Ng, Kwan Hoong

“…Abstract Fatty liver disease (FLD) is reversible disease and can be treated, if it is identified at an early stage. However, if diagnosed at the later stage,…”
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Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine by Acharya, U. Rajendra, Ng, E. Y. K., Tan, Jen-Hong, Sree, S. Vinitha

“…Breast cancer is a leading cause of death nowadays in women throughout the world. In developed countries, it is the most common type of cancer in women, and it…”
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Automated diagnosis of epilepsy using CWT, HOS and texture parameters by Acharya, U Rajendra, Yanti, Ratna, Zheng, Jia Wei, Krishnan, M Muthu Rama, Tan, Jen Hong, Martis, Roshan Joy, Lim, Choo Min

“…Epilepsy is a chronic brain disorder which manifests as recurrent seizures. Electroencephalogram (EEG) signals are generally analyzed to study the…”
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Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals by Acharya, U Rajendra, Fujita, Hamido, Sudarshan, Vidya K, Oh, Shu Lih, Muhammad, Adam, Koh, Joel E W, Jen Hong Tan, Chua, Chua K, Kok Poo Chua, Ru San Tan

“…Electrocardiogram is widely used to diagnose the congestive heart failure (CHF). It is the primary noninvasive diagnostic tool that can guide in the management…”
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Evaluation of tear evaporation from ocular surface by functional infrared thermography by Tan, Jen-Hong, Ng, E. Y. K., Acharya, U. Rajendra

“…Purpose: A novel technique was developed to measure tear evaporation and monitor its variation with respect to time, for the studying of ocular physiology…”
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An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters by Acharya, U. Rajendra, Ng, E. Y. K., Tan, Jen-Hong, Sree, S. Vinitha, Ng, Kwan-Hoong

“…Diabetes is a condition of increase in the blood sugar level higher than the normal range. Prolonged diabetes damages the small blood vessels in the retina…”
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Infrared thermography on ocular surface temperature: A review by Tan, Jen-Hong, Ng, E.Y.K., Rajendra Acharya, U., Chee, C.

“…Body temperature is a good indicator of human health. Thermal imaging system (thermography) is a non-invasive imaging procedure used to record the thermal…”
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Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals by Acharya, U. Rajendra, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adeli, Hojjat

“…An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of epilepsy. The EEG signal contains information about the electrical…”
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Deep learning for healthcare applications based on physiological signals: A review by Faust, Oliver, Hagiwara, Yuki, Hong, Tan Jen, Lih, Oh Shu, Acharya, U Rajendra

“…•Importance: In 2017 the number of publications on deep learning for physiological signal analysis increased significantly. Indeed, 2017 saw more papers…”
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Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals by Acharya, U. Rajendra, Fujita, Hamido, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adam, Muhammad

“…•Classification of normal and MI ECG beats.•With and without noise ECG beats are considered.•Convolutional neural network is employed.•R peak detection is not…”
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A deep convolutional neural network model to classify heartbeats by Acharya, U. Rajendra, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adam, Muhammad, Gertych, Arkadiusz, Tan, Ru San

“…The electrocardiogram (ECG) is a standard test used to monitor the activity of the heart. Many cardiac abnormalities will be manifested in the ECG including…”
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Automated EEG-based screening of depression using deep convolutional neural network by Acharya, U. Rajendra, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adeli, Hojjat, Subha, D. P

“…•Classification of normal and depression using EEG signals.•Employed a 13-layer deep convolutional neural network model.•Minimum hand-crafted features required…”
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Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images by Raghavendra, U, Fujita, Hamido, Bhandary, Sulatha V, Gudigar, Anjan, Tan, Jen Hong, Acharya, U Rajendra

“…•An eighteen layer CNN framework is proposed for glaucoma diagnosis.•Used 1426 fundus images (normal: 589 and glaucoma: 837).•Attained accuracy of 98.13%,…”
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Acupuncture and herbal formulation compared with artificial tears alone: evaluation of dry eye symptoms and associated tests in randomised clinical trial by Tong, Louis, Htoon, Hla Myint, Hou, Aihua, Acharya, Rajendra Udyavara, Tan, Jen-Hong, Wei, Qi-Ping, Lim, Pat

“…ObjectiveDry eye is a common disease with great health burden and no satisfactory treatment. Traditional Chinese medicine, an increasingly popular form of…”
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Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network by Acharya, U. Rajendra, Fujita, Hamido, Oh, Shu Lih, Raghavendra, U., Tan, Jen Hong, Adam, Muhammad, Gertych, Arkadiusz, Hagiwara, Yuki

“…Ventricular tachycardia (VT) and ventricular fibrillation (VFib) are the life-threatening shockable arrhythmias which require immediate attention…”
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Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals by Acharya, U Rajendra, Fujita, Hamido, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adam, Muhammad, Tan, Ru San

“…Congestive heart failure (CHF) is a chronic heart condition associated with debilitating symptoms that result in increased mortality, morbidity, healthcare…”
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Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals by Tan, Jen Hong, Hagiwara, Yuki, Pang, Winnie, Lim, Ivy, Oh, Shu Lih, Adam, Muhammad, Tan, Ru San, Chen, Ming, Acharya, U. Rajendra

“…Coronary artery disease (CAD) is the most common cause of heart disease globally. This is because there is no symptom exhibited in its initial phase until the…”
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Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review by Hagiwara, Yuki, Fujita, Hamido, Oh, Shu Lih, Tan, Jen Hong, Tan, Ru San, Ciaccio, Edward J, Acharya, U Rajendra

“…•Existing AF detection techniques are discussed.•Building blocks of CADx system are described.•Different features explored by researchers are…”
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Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study by Acharya, U Rajendra, Fujita, Hamido, Adam, Muhammad, Lih, Oh Shu, Sudarshan, Vidya K, Hong, Tan Jen, Koh, Joel EW, Hagiwara, Yuki, Chua, Chua K., Poo, Chua Kok, San, Tan Ru

“…•Classification of three types of ECG beats are proposed.•Normal, CAD and MI are three classes considered in this work.•DCT, DWT and EMD decomposition methods…”
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Computer-aided diagnosis of glaucoma using fundus images: A review by Hagiwara, Yuki, Koh, Joel En Wei, Tan, Jen Hong, Bhandary, Sulatha V., Laude, Augustinus, Ciaccio, Edward J., Tong, Louis, Acharya, U. Rajendra

“…•Review on existing techniques to diagnose glaucoma automatically.•Discussed the building blocks of a CAD system.•Deep learning (DL) methods are effective in…”
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