Search Results - "Computational and mathematical methods in medicine"

Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach by Unal, Ilker

“…ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The analysis results in two gains: diagnostic accuracy of the biomarker…”
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COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques by Kogilavani, S. V., Prabhu, J., Sandhiya, R., Kumar, M. Sandeep, Subramaniam, UmaShankar, Karthick, Alagar, Muhibbullah, M., Imam, Sharmila Banu Sheik

“…SARS-CoV-2 is a novel virus, responsible for causing the COVID-19 pandemic that has emerged as a pandemic in recent years. Humans are becoming infected with…”
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Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron by Lorencin, Ivan, Anđelić, Nikola, Baressi Šegota, Sandi, Car, Zlatan, Mrzljak, Vedran

“…Coronavirus (COVID-19) is a highly infectious disease that has captured the attention of the worldwide public. Modeling of such diseases can be extremely…”
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Breast Tumor Detection and Classification in Mammogram Images Using Modified YOLOv5 Network by Mohiyuddin, Aqsa, Basharat, Asma, Ghani, Usman, Peter, Veselý, Abbas, Sidra, Naeem, Osama Bin, Rizwan, Muhammad

“…Breast cancer incidence has been rising steadily during the past few decades. It is the second leading cause of death in women. If it is diagnosed early, there…”
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MRI Segmentation of the Human Brain: Challenges, Methods, and Applications by Despotović, Ivana, Philips, Wilfried, Goossens, Bart

“…Image segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical…”
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Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network by Lin, Chii-Jen, Fu, Min-Jun, Kuok, Chan-Pang, Chen, Yu-Chan, Sun, Yung-Nien

“…Scoliosis is a common spinal condition where the spine curves to the side and thus deforms the spine. Curvature estimation provides a powerful index to…”
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A Review of Multimodal Medical Image Fusion Techniques by Mo, Xiaoying, Yin, Mengxiao, Yang, Feng, Huang, Bing, Zhong, Cheng

“…The medical image fusion is the process of coalescing multiple images from multiple imaging modalities to obtain a fused image with a large amount of…”
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Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm by Cai, Xiuzhen, Li, Xia, Razmjooy, Navid, Ghadimi, Noradin

“…A common gynecological disease in the world is breast cancer that early diagnosis of this disease can be very effective in its treatment. The use of image…”
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An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis by Tian, Xin, Tong, Changfei, Cai, Zhennao, Zhao, Xue-Hua, Huang, Hui, Chen, Hui-ling, Li, Qiang, Liu, Wenbin

“…In this study, a new predictive framework is proposed by integrating an improved grey wolf optimization (IGWO) and kernel extreme learning machine (KELM),…”
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A Mathematical Model of COVID-19 with Vaccination and Treatment by Diagne, M. L., Rwezaura, H., Tchoumi, S. Y., Tchuenche, J. M.

“…We formulate and theoretically analyze a mathematical model of COVID-19 transmission mechanism incorporating vital dynamics of the disease and two key…”
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Bone Cancer Detection Using Feature Extraction Based Machine Learning Model by Sharma, Ashish, Yadav, Dhirendra P., Garg, Hitendra, Kumar, Mukesh, Sharma, Bhisham, Koundal, Deepika

“…Bone cancer is considered a serious health problem, and, in many cases, it causes patient death. The X-ray, MRI, or CT-scan image is used by doctors to…”
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A Systematic Literature Review on Particle Swarm Optimization Techniques for Medical Diseases Detection by Pervaiz, Sobia, Ul-Qayyum, Zia, Bangyal, Waqas Haider, Gao, Liang, Ahmad, Jamil

“…Artificial Intelligence (AI) is the domain of computer science that focuses on the development of machines that operate like humans. In the field of AI,…”
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IoT-Based Smart Health Monitoring System for COVID-19 Patients by Khan, Mohammad Monirujjaman, Mehnaz, Safia, Shaha, Antu, Nayem, Mohammed, Bourouis, Sami

“…During the ongoing COVID-19 pandemic, Internet of Things- (IoT-) based health monitoring systems are potentially immensely beneficial for COVID-19 patients…”
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Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence by Mustapha, Mubarak Taiwo, Musa, Musa Sani, Sekeroglu, Boran, Ozsahin, Ilker, Uzun Ozsahin, Dilber

“…The COVID-19 diagnostic approach is mainly divided into two broad categories, a laboratory-based and chest radiography approach. The last few months have…”
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A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals by Zhang, Guokai, Peng, Yonghong, Zhang, Xiaodong, Jiang, Xiaolu, Wang, Wenfeng, Zhao, Wenbing, Zhao, Wei, Zhang, Baocan

“…The detection of recorded epileptic seizure activity in electroencephalogram (EEG) segments is crucial for the classification of seizures. Manual recognition…”
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Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data by Alam, Kazi Nabiul, Khan, Md Shakib, Dhruba, Abdur Rab, Khan, Mohammad Monirujjaman, Al-Amri, Jehad F., Masud, Mehedi, Rawashdeh, Majdi

“…The COVID-19 pandemic has had a devastating effect on many people, creating severe anxiety, fear, and complicated feelings or emotions. After the initiation of…”
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Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques by Lilhore, Umesh Kumar, Poongodi, M., Kaur, Amandeep, Simaiya, Sarita, Algarni, Abeer D., Elmannai, Hela, Vijayakumar, V., Tunze, Godwin Brown, Hamdi, Mounir

“…Cervical cancer has become the third most common form of cancer in the in-universe, after the widespread breast cancer. Human papillomavirus risk of infection…”
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Wearable Wireless Body Area Networks for Medical Applications by Tavera, Carlos A., Ortiz, Jesús H., Khalaf, Osamah I., Saavedra, Diego F., Aldhyani, Theyazn H. H.

“…In recent times, there has been a significant growth in networks known as the wireless body area networks (WBANs). A WBAN connects distributed nodes throughout…”
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Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning by Senan, Ebrahim Mohammed, Jadhav, Mukti E., Rassem, Taha H., Aljaloud, Abdulaziz Salamah, Mohammed, Badiea Abdulkarem, Al-Mekhlafi, Zeyad Ghaleb

“…Cancer is considered one of the most aggressive and destructive diseases that shortens the average lives of patients. Misdiagnosed brain tumours lead to false…”
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Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions by Tufail, Ahsan Bin, Ma, Yong-Kui, Kaabar, Mohammed K. A., Martínez, Francisco, Junejo, A. R., Ullah, Inam, Khan, Rahim

“…Deep learning (DL) is a branch of machine learning and artificial intelligence that has been applied to many areas in different domains such as health care and…”
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