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Kalifa Shantta,Otman Basir
Pág. 55 - 61
Even with the enormous progress in medical technology, brain tumor detection is still an extremely tedious and complex task for the physicians. The early and accurate detection of brain tumors enables effective and efficient therapy and thus can result i...
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Hugo Silva, Vítor Duque, Mário Macedo and Mateus Mendes
The International Classification of Diseases, 10th edition (ICD-10), has been widely used for the classification of patient diagnostic information. This classification is usually performed by dedicated physicians with specific coding training, and it is ...
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Woonghee Lee, Mingeon Ju, Yura Sim, Young Kul Jung, Tae Hyung Kim and Younghoon Kim
Deep learning-based segmentation models have made a profound impact on medical procedures, with U-Net based computed tomography (CT) segmentation models exhibiting remarkable performance. Yet, even with these advances, these models are found to be vulner...
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Salman Bin Naeem, Mehreen Azam, Maged N. Kamel Boulos and Rubina Bhatti
(1) Aims and Objectives: Mobile health (mHealth) is increasingly becoming a favorite healthcare delivery solution in underserved areas around the globe. This study aims to identify the influence of technology?organization?environment (TOE) factors on mHe...
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Hermanas Usas, Sonja Weilenmann, Mary Princip, Walther J. Fuchs, Marc van Nuffel, Roland von Känel and Tobias R. Spiller
Physician burnout is a systemic problem in health care due to its high prevalence and its negative impact on professional functioning and individual well-being. While unique aspects of the physician role contributing to the development burnout have been ...
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Jeon-Young Kang, Sandy Wong, Jinwoo Park, Jinhyung Lee and Jared Aldstadt
With the rapid growth of aging populations in South Korea, it is important to assess spatial accessibility to healthcare resources as older adults may need frequent visits to hospitals. Healthcare spatial accessibility is measured based on available reso...
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Yi-Wei Wang and Ja-Ling Wu
This work presents an efficient and effective system allowing hospitals to share patients? private information while ensuring that each hospital database?s medical records will not be leaked; moreover, the privacy of patients who access the data will als...
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Mohammad Mahbubur Rahman Khan Mamun and Tarek Elfouly
Contemporary methods used to interpret the electrocardiogram (ECG) signal for diagnosis or monitoring are based on expert knowledge and rule-centered algorithms. In recent years, with the advancement of artificial intelligence, more and more researchers ...
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Ibrahim Shawky Farahat, Waleed Aladrousy, Mohamed Elhoseny, Samir Elmougy and Ahmed Elsaid Tolba
The Internet of Medical Things (IoMT) uses wireless networks to help patients to communicate with healthcare professionals. Therefore, IoMT devices suffer from a lack of security controls, just like many Internet of Things (IoT) gadgets. Thus, in this pa...
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Abdul Rahaman Wahab Sait
Globally, lung cancer (LC) is the primary factor for the highest cancer-related mortality rate. Deep learning (DL)-based medical image analysis plays a crucial role in LC detection and diagnosis. It can identify early signs of LC using positron emission ...
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