IMPACT OF VOXEL NORMALIZATION ON A MACHINE LEARNING-BASED METHOD: A STUDY ON PULMONARY NODULE MALIGNANCY DIAGNOSIS USING LOW-DOSE COMPUTED TOMOGRAPHY (LDCT)

Impact of Voxel Normalization on a Machine Learning-Based Method: A Study on Pulmonary Nodule Malignancy Diagnosis Using Low-Dose Computed Tomography (LDCT)

Lung cancer (LC) stands as the foremost cause of cancer-related fatality rates worldwide.Early diagnosis significantly enhances patient survival rate.Nowadays, low-dose computed tomography (LDCT) is widely employed on the chest as a tool for large-scale lung cancer screening.Nonetheless, a large amount of chest radiographs creates an onerous burden

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Barriers to the Quality of Emergency Online Pedagogies in Higher Education during the COVID-19 Pandemic: A Case Study from the University of Namibia

Using the TIPEC framework, this study undertook a critical literature analysis, and student survey to explore challenges experienced by higher education institutions during emergency online pedagogies because of disruptions from the COVID-19 outbreak.The study revealed that most higher education institutions are still grappling with getting technic

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