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Full-Text Articles in Physical Sciences and Mathematics
Breast Ultrasound Image Segmentation Based On Uncertainty Reduction And Context Information, Kuan Huang
Breast Ultrasound Image Segmentation Based On Uncertainty Reduction And Context Information, Kuan Huang
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Breast cancer frequently occurs in women over the world. It was one of the most serious diseases and the second common cancer among women in 2019. The survival rate of stages 0 and 1 of breast cancer is closed to 100%. It is urgent to develop an approach that can detect breast cancer in the early stages. Breast ultrasound (BUS) imaging is low-cost, portable, and effective; therefore, it becomes the most crucial approach for breast cancer diagnosis. However, BUS images are of poor quality, low contrast, and uncertain. The computer-aided diagnosis (CAD) system is developed for breast cancer to prevent …
Achieving Hate Speech Detection In A Low Resource Setting, Peiyu Li
Achieving Hate Speech Detection In A Low Resource Setting, Peiyu Li
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Online social networks provide people with convenient platforms to communicate and share life moments. However, because of the anonymous property of these social media platforms, the cases of online hate speeches are increasing. Hate speech is defined by the Cambridge Dictionary as “public speech that expresses hate or encourages violence towards a person or group based on something such as race, religion, sex, or sexual orientation”. Online hate speech has caused serious negative effects to legitimate users, including mental or emotional stress, reputational damage, and fear for one’s safety. To protect legitimate online users, automatically hate speech detection techniques are …
Deepnec: A Novel Alignment-Free Tool For The Characterization Of Nitrification-Related Enzymes Using Deep Learning, A Step Towards Comprehensive Understanding Of The Nitrogen Cycle, Naveen Duhan
Student Research Symposium
Abstract: Nitrification is an important microbial two-step transformation in the global nitrogen cycle, as it is the only natural process that produces nitrate within a system. The functional annotation of nitrification-related enzymes has a broad range of applications in metagenomics, agriculture, industrial biotechnology, etc. The time and resources needed for determining the function of enzymes experimentally are restrictively costly. Therefore, an accurate genome-scale computational prediction of the nitrification-related enzymes has become much more important.In this study, we developed an alignment-free computational approach to determine the nitrification-related enzymes from the sequence itself. We propose deepNEC, a novel end-to-end feature selection and …