Sökning: "Computer tomography"

Visar resultat 6 - 10 av 67 uppsatser innehållade orden Computer tomography.

1. 6. Optic nerve sheath diameter semantic segmentation and feature extraction

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Simone Bonato; [2023]
   Nyckelord :Machine Learning; Computer Vision; Image Segmentation; Medical Imaging; Optic Nerve Sheath Diameter; nnU-Net; Maskininlärning; datorseende; bildsegmentering; medicinsk bildbehandling; optisk nervslidsdiameter; nnU-Net;

   Sammanfattning : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. LÄS MER

3. 7. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Maira Khan; [2023]
   Nyckelord :CT scan; electrode peaks; jelly roll; keypoints; structural deformation; traditional computer vision; deep neural network; CT-skanning; elektrodtoppar; gelérulle; nyckelpunkter; strukturell deformation; Traditionellt datorseende; djupt neuralt nätverk;

   Sammanfattning : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. LÄS MER

4. 8. Evaluation of Computer Tomography based Cancer Diagnostics with the help of 3D Printed Phantoms and Deep Learning

   Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

   Författare :Alex Back; Pontus Pandurevic; [2023]
   Nyckelord :Machine Learning; Deep Learning; Convolutional Neural Networks; Perception Loss; CNN; DL; ML; Computer Tomography; CT; Cancer Diagnostics; Evaluation of Image Reconstruction; Radiomics; Tumors; 3D Printed Phantoms; 3D Printing; PLA;

   Sammanfattning : Computed x-ray tomography is one of the most common medical imaging modalities andas such ways of improving the images are of high relevance. Applying deep learningmethods to denoise CT images has been of particular interest in recent years. LÄS MER

5. 9. AI inom radiologi, nuläge och framtid

   Kandidat-uppsats,

   Författare :Linus Täreby; William Bertilsson; [2023]
   Nyckelord :Artificial intelligence AI ; Computer Science CS ; Machine Learning ML ; Artificial Neural Network ANN ; Deep Learning DL ; Radiology; Computed Tomography CT ; Magnetic Resonance Imaging MRI ; Artificiell intelligens AI ; Computer Science CS ; Machine Learning ML ; Artificial Neural Network ANN ; Deep Learning DL ; Radiologi; Computed Tomography CT ; Magnetic Resonance Imaging MRI ;

   Sammanfattning : Denna uppsats presenterar resultaten av en kvalitativ undersökning som syftar till att ge en djupare förståelse för användningen av AI inom radiologi, dess framtida påverkan på yrket och hur det används idag. Genom att genomföra tre intervjuer med personer som arbetar inom radiologi, har datainsamlingen fokuserat på att identifiera de positiva och negativa aspekterna av AI i radiologi, samt dess potentiella konsekvenser på yrket. LÄS MER

7. 10. Uncertainties in the use of synthetic CT (sCT) for daily online adaptive radiotherapy for lung cancer

   Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

   Författare :Johansson Vivika; [2023]
   Nyckelord :Medicine and Health Sciences;

   Sammanfattning : Background and purpose: Cone Beam Computed Tomography (CBCT) based online adaptive radiotherapy (oART) has been clinically implemented for several anatomical sites worldwide. However, random and abrupt anatomical changes with large density alterations can occur in lung patients, leading to uncertainties with synthetic computed tomography (sCT) and dose calculation. LÄS MER