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Roseline Oluwaseun Ogundokun, Sanjay Misra, Mychal Douglas, Robertas Dama?evicius and Rytis Maskeliunas
In today?s healthcare setting, the accurate and timely diagnosis of breast cancer is critical for recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has experienced a transformation that allows the analysis of real-...
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Mustafa Kara, Zeynep Öztürk, Sergin Akpek and Aysegül Turupcu
Advancements in deep learning and availability of medical imaging data have led to the use of CNN-based architectures in disease diagnostic assisted systems. In spite of the abundant use of reverse transcription-polymerase chain reaction-based tests in C...
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Junkang Qin, Xiao Wang, Dechang Mi, Qinmu Wu, Zhiqin He and Yu Tang
The study of human torso medical image segmentation is significant for computer-aided diagnosis of human examination, disease tracking, and disease prevention and treatment. In this paper, two application tasks are designed for torso medical images: the ...
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Mohammad H. Nadimi-Shahraki, Zahra Asghari Varzaneh, Hoda Zamani and Seyedali Mirjalili
Feature selection is an NP-hard problem to remove irrelevant and redundant features with no predictive information to increase the performance of machine learning algorithms. Many wrapper-based methods using metaheuristic algorithms have been proposed to...
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Zhenqi Zhou, Zhen Xu, Anqi Liu, Shuang Zhou, Lan Mu and Xuan Zhang
In December 2019, the coronavirus disease 2019 (COVID-19) pandemic attacked Wuhan, China. The city government soon strictly locked down the city, implemented a hierarchical diagnosis and treatment system, and took a series of unprecedented pharmaceutical...
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Lourdes Duran-Lopez, Juan Pedro Dominguez-Morales, Jesús Corral-Jaime, Saturnino Vicente-Diaz and Alejandro Linares-Barranco
This work could be used to aid radiologists in the screening process, contributing to the fight against COVID-19.
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Chengxi Li and Andrew Zhu
With the accelerated development of medical imaging equipment and techniques, image fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency ablation, especially for liver tumor. Tumor treatment relying on a single medical ...
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Linlin Ji, Rui Zhang, Huijian Han and Ahmad Chaddad
Image magnification can be reduced to construct an approximation surface with data points in the image while keeping image details and edge features. In this paper, a new image magnification method is proposed by constructing piecewise bicubic polynomial...
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Huseyin Polat and Homay Danaei Mehr
Lung cancer is the most common cause of cancer-related deaths worldwide. Hence, the survival rate of patients can be increased by early diagnosis. Recently, machine learning methods on Computed Tomography (CT) images have been used in the diagnosis of lu...
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Jacqueline Blake,Don Kerr,John Gammack
Medical decision making takes place in a complex and dynamic environment, involving various individual and organisational stakeholders. In such contexts supportive information systems are required to be designed for practical efficacy, emphasising transp...
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Naoufel KHAYATI,Wided LEJOUAD-CHAARI
Pág. 1 - 16
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Alia Alshehri and Duaa AlSaeed
Medical diagnosis and computer-aided diagnosis systems.
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Weibo Song
The proper evaluation of heart health requires professional medical experience. Therefore, in clinical diagnosis practice, the development direction is to reduce the high dependence of the diagnosis process on medical experience and to more effectively i...
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Kanza Gulzar, Muhammad Ayoob Memon, Syed Muhammad Mohsin, Sheraz Aslam, Syed Muhammad Abrar Akber and Muhammad Asghar Nadeem
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision...
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Seon-Chil Kim
The use of disposable containers and packaging materials has increased due to the recent COVID-19 pandemic. Thus, the generation of plastic waste is also increasing, and research on recycling such waste is being actively conducted. In this study, an X-ra...
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Kerdkiat Suvirat, Detphop Tanasanchonnakul, Sawrawit Chairat and Sitthichok Chaichulee
Medical coding plays an essential role in medical billing, health resource planning, clinical research and quality assessment. Automated coding systems offer promising solutions to streamline the coding process, improve accuracy and reduce the burden on ...
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Ilaria Bartolini and Andrea Di Luzio
Narcolepsy with cataplexy is a severe lifelong disorder characterized, among others, by sudden loss of bilateral face muscle tone triggered by emotions (cataplexy). A recent approach for the diagnosis of the disease is based on a completely manual analys...
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Jingru Hou, Yujuan Si and Xiaoqian Yu
Application areas of image super-resolution: surveillance, medical diagnosis, Earth observation and remote sensing, astronomical observation, biometric information identification.
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Nazia Ejaz, Saad Jawaid Khan, Fahad Azim, Mehwish Faiz, Emil Teu?an, Alin Ple?a, Alexandru Ianosi-Andreeva-Dimitrova and Sergiu-Dan Stan
Fragility fractures, caused by low-energy trauma, are a significant global health concern, with 158 million people aged 50 and over at risk. Hip fractures, a common issue in elderly patients, are often linked to underlying conditions such as osteoporosis...
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