Essays about: "Chest X-ray"
Showing result 1 - 5 of 11 essays containing the words Chest X-ray.
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1. Developing a highly accurate, locally interpretable neural network for medical image analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. READ MORE
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2. The effect of the hyperparameters of an RBF SVM on classifying pneumonia
University essay from KTH/DatavetenskapAbstract : Pneumonia is a deadly disease if gone untreated. In order to treat it, first it has to be discovered, which can be done by examining patterns of chest X-ray images. This process can be done by human experts but there is also a desire to make it more efficient by utilizing machine learning. READ MORE
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3. A Comparative Study on the effect of different hyperparameters on the performance of VGGNet-16 for detection of Cardiomegaly in Chest X-ray Images
University essay from KTH/DatavetenskapAbstract : Computer aided diagnostics (CAD) systems have been widely researched and used in the medical field since it was introduced in the 1960s. The system functions as a support for radiologists in medical examinations using imaging technology such as X-rays, MRI and CT scans to diagnose diseases and treat injuries. READ MORE
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4. Development of methods and software for rapid quality control in fluoroscopy
University essay from Umeå universitet/Institutionen för fysikAbstract : Background: Fluoroscopy is a common imaging technique which uses X-ray to derive a real time imaging of patient anatomy to determine diagnosis and positioning of patients for interventional procedures. It is therefore important that the fluoroscopy systems maintain their performance. READ MORE
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5. Classification of COVID-19 Using Synthetic Minority Over-Sampling and Transfer Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The 2019 novel coronavirus has been proven to present several unique features on chest X-rays and CT-scans that distinguish it from imaging of other pulmonary diseases such as bacterial pneumonia and viral pneumonia unrelated to COVID-19. However, the key characteristics of a COVID-19 infection have been proven challenging to detect with the human eye. READ MORE
