Search Results - "Computers in biology and medicine"

Automated detection of COVID-19 cases using deep neural networks with X-ray images by Ozturk, Tulin, Talo, Muhammed, Yildirim, Eylul Azra, Baloglu, Ulas Baran, Yildirim, Ozal, Rajendra Acharya, U.

“…The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic…”
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Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images by Rahman, Tawsifur, Khandakar, Amith, Qiblawey, Yazan, Tahir, Anas, Kiranyaz, Serkan, Abul Kashem, Saad Bin, Islam, Mohammad Tariqul, Al Maadeed, Somaya, Zughaier, Susu M., Khan, Muhammad Salman, Chowdhury, Muhammad E.H.

“…Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during…”
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Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks by Ardakani, Ali Abbasian, Kanafi, Alireza Rajabzadeh, Acharya, U. Rajendra, Khadem, Nazanin, Mohammadi, Afshin

“…Fast diagnostic methods can control and prevent the spread of pandemic diseases like coronavirus disease 2019 (COVID-19) and assist physicians to better manage…”
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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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Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation by Amyar, Amine, Modzelewski, Romain, Li, Hua, Ruan, Su

“…This paper presents an automatic classification segmentation tool for helping screening COVID-19 pneumonia using chest CT imaging. The segmented lesions can…”
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COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer

“…Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that can infect both humans and animal species. It often causes…”
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CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization by Mahmud, Tanvir, Rahman, Md Awsafur, Fattah, Shaikh Anowarul

“…With the recent outbreak of COVID-19, fast diagnostic testing has become one of the major challenges due to the critical shortage of test kit. Pneumonia, a…”
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Brain tumor classification using deep CNN features via transfer learning by Deepak, S., Ameer, P.M.

“…Brain tumor classification is an important problem in computer-aided diagnosis (CAD) for medical applications. This paper focuses on a 3-class classification…”
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A review of feature selection methods in medical applications by Remeseiro, Beatriz, Bolon-Canedo, Veronica

“…Feature selection is a preprocessing technique that identifies the key features of a given problem. It has traditionally been applied in a wide range of…”
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Arrhythmia detection using deep convolutional neural network with long duration ECG signals by Yıldırım, Özal, Pławiak, Paweł, Tan, Ru-San, Acharya, U. Rajendra

“…This article presents a new deep learning approach for cardiac arrhythmia (17 classes) detection based on long-duration electrocardiography (ECG) signal…”
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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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Transparency of deep neural networks for medical image analysis: A review of interpretability methods by Salahuddin, Zohaib, Woodruff, Henry C., Chatterjee, Avishek, Lambin, Philippe

“…Artificial Intelligence (AI) has emerged as a useful aid in numerous clinical applications for diagnosis and treatment decisions. Deep neural networks have…”
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Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats by Oh, Shu Lih, Ng, Eddie Y.K., Tan, Ru San, Acharya, U. Rajendra

“…Arrhythmia is a cardiac conduction disorder characterized by irregular heartbeats. Abnormalities in the conduction system can manifest in the…”
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Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review by Hong, Shenda, Zhou, Yuxi, Shang, Junyuan, Xiao, Cao, Sun, Jimeng

“…The electrocardiogram (ECG) is one of the most commonly used diagnostic tools in medicine and healthcare. Deep learning methods have achieved promising results…”
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Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis by Li, Xing, Wei, Shizhang, Niu, Shengqi, Ma, Xiao, Li, Haotian, Jing, Manyi, Zhao, Yanling

“…Huanglian Jiedu Decoction (HLJDD) is a classical herbal formula with potential efficacy in the treatment of sepsis. However, the main components and potential…”
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A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity by Safaei, Mahmood, Sundararajan, Elankovan A., Driss, Maha, Boulila, Wadii, Shapi'i, Azrulhizam

“…Obesity is considered a principal public health concern and ranked as the fifth foremost reason for death globally. Overweight and obesity are one of the main…”
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A scoping review of transfer learning research on medical image analysis using ImageNet by Morid, Mohammad Amin, Borjali, Alireza, Del Fiol, Guilherme

“…Employing transfer learning (TL) with convolutional neural networks (CNNs), well-trained on non-medical ImageNet dataset, has shown promising results for…”
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Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities by Goyal, Manu, Knackstedt, Thomas, Yan, Shaofeng, Hassanpour, Saeed

“…Recently, there has been great interest in developing Artificial Intelligence (AI) enabled computer-aided diagnostics solutions for the diagnosis of skin…”
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Machine learning in medical applications: A review of state-of-the-art methods by Shehab, Mohammad, Abualigah, Laith, Shambour, Qusai, Abu-Hashem, Muhannad A., Shambour, Mohd Khaled Yousef, Alsalibi, Ahmed Izzat, Gandomi, Amir H.

“…Applications of machine learning (ML) methods have been used extensively to solve various complex challenges in recent years in various application areas, such…”
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Telehealth utilization during the Covid-19 pandemic: A systematic review by Garfan, Salem, Alamoodi, A.H., Zaidan, B.B., Al-Zobbi, Mohammed, Hamid, Rula A., Alwan, Jwan K., Ahmaro, Ibraheem Y.Y., Khalid, Eman Thabet, Jumaah, F.M., Albahri, O.S., Zaidan, A.A., Albahri, A.S., Al-qaysi, Z.T., Ahmed, M.A., Shuwandy, Moceheb Lazam, Salih, Mahmood M., Zughoul, Omar, Mohammed, K.I., Momani, Fayiz

“…During the coronavirus disease (COVID-19) pandemic, different technologies, including telehealth, are maximised to mitigate the risks and consequences of the…”
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