Sökning: "chest x-ray"
Visar resultat 1 - 5 av 14 uppsatser innehållade orden chest x-ray.
1. Developing a highly accurate, locally interpretable neural network for medical image analysis
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : 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. LÄS MER
2. The effect of the hyperparameters of an RBF SVM on classifying pneumonia
Kandidat-uppsats, KTH/DatavetenskapSammanfattning : 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. LÄS MER
3. Kan tilläggsbehandling med melatonin förbättra prognosen för patienter med COVID-19? : En litteraturstudie
Kandidat-uppsats, Linnéuniversitetet/Institutionen för kemi och biomedicin (KOB)Sammanfattning : Introduktion. Coronavirus disease 19 (COVID-19) är en virussjukdom som orsakar mild till allvarlig respiratorisk sjukdom, med symtom som andnöd, feber, hosta och trötthet. Risken att bli allvarligt sjuk är hög, med risk för komplikationer som sepsis, tromboembolismer och lungpåverkan. LÄS MER
4. A Comparative Study on the effect of different hyperparameters on the performance of VGGNet-16 for detection of Cardiomegaly in Chest X-ray Images
Kandidat-uppsats, KTH/DatavetenskapSammanfattning : 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. LÄS MER
5. Development of methods and software for rapid quality control in fluoroscopy
Master-uppsats, Umeå universitet/Institutionen för fysikSammanfattning : 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. LÄS MER
