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Anis Ahmad, Tulasigeri M. Totiger, Ana Paula Benaduce, Brian Marples and Ivaylo Bodganov Mihaylov
Triple-negative breast cancer (TNBC), which is a type of invasive breast cancer, is characterized by severe disease progression, poor prognosis, high recurrence rate, and short survival. We sought to gain new insight into TNBC by applying computed tomogr...
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Badri Bhakta Shrestha
Pág. 55 - 69
Assessment of flood hazard and damage is a prerequisite for flood risk management in the river basins. The mitigation plans for flood risk management are mostly evaluated in quantified terms as it is important in decision making process. Therefore, analy...
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Seon Lee, Se-Hong Oh, Sun-Won Park, Chaewon Shin, Jeehun Kim, Jung-Hyo Rhim, Jee-Young Lee and Joon-Yul Choi
The purpose of this study was to determine whether a support vector machine (SVM) model based on quantitative susceptibility mapping (QSM) can be used to differentiate iron accumulation in the deep grey matter of early Parkinson?s disease (PD) patients f...
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Lilia Lazli, Mounir Boukadoum and Otmane Ait Mohamed
Computer-aided diagnostic (CAD) systems use machine learning methods that provide a synergistic effect between the neuroradiologist and the computer, enabling an efficient and rapid diagnosis of the patient?s condition. As part of the early diagnosis of ...
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Dohoon Kim
Most recent cyberattacks have employed new and diverse malware. Various static and dynamic analysis methods are being introduced to detect and defend against these attacks. The malware that is detected by these methods includes advanced present threat (A...
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Cheng-Bin Jin, Hakil Kim, Mingjie Liu, In Ho Han, Jae Il Lee, Jung Hwan Lee, Seongsu Joo, Eunsik Park, Young Saem Ahn and Xuenan Cui
Magnetic resonance imaging (MRI) plays a significant role in the diagnosis of lumbar disc disease. However, the use of MRI is limited because of its high cost and significant operating and processing time. More importantly, MRI is contraindicated for som...
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