Essays about: "Diagnostic Test Accuracy"
Showing result 1 - 5 of 29 essays containing the words Diagnostic Test Accuracy.
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1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
University essay from Lunds universitet/Matematik LTHAbstract : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. READ MORE
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2. Evaluation of manual and robotic techniques for Micro-RNA extraction in early sepsis diagnosis
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Sepsis is a life-threatening organ dysfunction caused by the spread of infectious diseases throughout the body, resulting in a dysfunctional immune system response. It includes a wide range of symptomsa ffecting multiple organs, making accurate diagnosis challenging. READ MORE
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3. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE
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4. Finding the Sweet Spot
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Complex carbohydrates, or glycans, are involved in cancer progression and could thereby serve as diagnostic markers as well as therapeutic targets. However, new research is required to determine which glycan motifs are universal signatures of tumor environments. READ MORE
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5. Use of a multi-parameter sensor for oil degradation monitoring
University essay from KTH/Maskinkonstruktion (Inst.)Abstract : The continuous monitoring in real time of the degradation of lubricants is of great interest for many different industries to optimize the use of lubricating oil in combustion engines. Traditional oil quality diagnostic methods can measure accurately the different levels of oil degradation, but they cannot be implemented on engines to perform continuous oil quality diagnostics. READ MORE