Search Results - "Malik, Hassaan"

Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds by Malik, Hassaan, Anees, Tayyaba

“…Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19, lung cancer (LC), consolidation lung (COL), and many more. When…”
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DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays by Malik, Hassaan, Naeem, Ahmad, Naqvi, Rizwan Ali, Loh, Woong-Kee

“…Coronavirus Disease 2019 (COVID-19) is still a threat to global health and safety, and it is anticipated that deep learning (DL) will be the most effective way…”
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BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs by Malik, Hassaan, Anees, Tayyaba, Mui-zzud-din

“…Globally, coronavirus disease (COVID-19) has badly affected the medical system and economy. Sometimes, the deadly COVID-19 has the same symptoms as other chest…”
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Blockchain technology in healthcare: A systematic review by Saeed, Huma, Malik, Hassaan, Bashir, Umair, Ahmad, Aiesha, Riaz, Shafia, Ilyas, Maheen, Bukhari, Wajahat Anwaar, Khan, Muhammad Imran Ali

“…Blockchain technology (BCT) has emerged in the last decade and added a lot of interest in the healthcare sector. The purpose of this systematic literature…”
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Deep Learning for Molecular Thermodynamics by Malik, Hassaan, Chaudhry, Muhammad Umar, Jasinski, Michal

“…The methods used in chemical engineering are strongly reliant on having a solid grasp of the thermodynamic features of complex systems. It is difficult to…”
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Multi-classification deep neural networks for identification of fish species using camera captured images by Malik, Hassaan, Naeem, Ahmad, Hassan, Shahzad, Ali, Farman, Naqvi, Rizwan Ali, Yon, Dong Keon

“…Regular monitoring of the number of various fish species in a variety of habitats is essential for marine conservation efforts and marine biology research. To…”
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Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study by Riaz, Shafia, Naeem, Ahmad, Malik, Hassaan, Naqvi, Rizwan Ali, Loh, Woong-Kee

“…Skin cancer is considered a dangerous type of cancer with a high global mortality rate. Manual skin cancer diagnosis is a challenging and time-consuming method…”
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A Comparison of Transfer Learning Performance versus Health Experts in Disease Diagnosis from Medical Imaging by Malik, Hassaan, Farooq, Muhammad Shoaib, Khelifi, Adel, Abid, Adnan, Qureshi, Junaid Nasir, Hussain, Muzammil

“…Deep learning methods have huge success in task specific feature representation. Transfer learning algorithms are very much effective when large training data…”
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Multi-classification neural network model for detection of abnormal heartbeat audio signals by Malik, Hassaan, Bashir, Umair, Ahmad, Adnan

“…Nowadays, heart disease is the leading cause of death. The high mortality rate and escalating occurrence of heart diseases worldwide warrant the requirement…”
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A Novel Fusion Model of Hand-Crafted Features with Deep Convolutional Neural Networks for Classification of Several Chest Diseases using X-ray Images by Malik, Hassaan, Anees, Tayyaba, Chaudhry, Muhammad Umar, Gono, Radomir, Jasinski, Michal, Leonowicz, Zbigniew, Bernat, Petr

“…With the continuing global pandemic of coronavirus (COVID-19) sickness, it is critical to seek diagnostic approaches that are both effective and rapid to limit…”
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PDCNET: Deep Convolutional Neural Network for Classification of Periodontal Disease Using Dental Radiographs by Bilal, Anas, Haider Khan, Ali, Almohammadi, Khalid, Al Ghamdi, Sami A., Long, Haixia, Malik, Hassaan

“…Dental health plays a pivotal role in determining the general health and quality of life of a person. Dental caries is a prevalent health problem in the world;…”
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Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans by Malik, Hassaan, Anees, Tayyaba, Naeem, Ahmad, Naqvi, Rizwan Ali, Loh, Woong-Kee

“…Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy must be employed to isolate COVID-19. When it comes to determining the…”
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Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images by Malik, Hassaan, Naeem, Ahmad, Sadeghi-Niaraki, Abolghasem, Naqvi, Rizwan Ali, Lee, Seung-Won

“…Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal (GI) tract to be performed without any discomfort. Despite this,…”
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Motion distractors perturb saccade programming later in time than static distractors by Kehoe, Devin H., Schießer, Lukas, Malik, Hassaan, Fallah, Mazyar

“…The mechanism that reweights oculomotor vectors based on visual features is unclear. However, the latency of oculomotor visual activations gives insight into…”
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Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Malik, Hassaan, Anees, Tayyaba, Al-Shamaylehs, Ahmad Sami, Alharthi, Salman Z, Khalil, Wajeeha, Akhunzada, Adnan

“…Chest disease refers to a variety of lung disorders, including lung cancer (LC), COVID-19, pneumonia (PNEU), tuberculosis (TB), and numerous other respiratory…”
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Postoperative Complications in Carcinoma Gall Bladder: A Tertiary Care Hospital Experience by Naveed Haral, Qaiser, Din Nasir, Ammad Ud, Malik, Ahmed Hassaan, Butt, Muhammad Qasim, Ali, Rashid Zahid, Mansoor, Arwah, Mumtaz, Hassan

“…Introduction: Gallbladder cancer is more common than any other part of the biliary system. Accounting between 2% and 3% of all cholecystectomies. Aims…”
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Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays by Malik, Hassaan, Anees, Tayyaba

“…The increasing global incidence of COVID-19 necessitates the rapid development of a reliable method for diagnosing the disease. The virus is spreading so…”
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CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays by Malik, Hassaan, Anees, Tayyaba, Din, Muizzud, Naeem, Ahmad

“…Coronavirus (COVID-19) has adversely harmed the healthcare system and economy throughout the world. COVID-19 has similar symptoms as other chest disorders such…”
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Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions by Saeed, Nimra, Malik, Hassaan, Naeem, Ahmad, Bashir, Umair

“…The present study discusses big data (BD) and Internet of Things (IoT)-based applications in intelligent ecosystems. The purpose of these areas is to identify…”
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DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images by Tahir, Maryam, Naeem, Ahmad, Malik, Hassaan, Tanveer, Jawad, Naqvi, Rizwan Ali, Lee, Seung-Won

“…Skin cancer is one of the most lethal kinds of human illness. In the present state of the health care system, skin cancer identification is a time-consuming…”
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