Sökning: "medical image segmentation"
Visar resultat 1 - 5 av 82 avhandlingar innehållade orden medical image segmentation.
1. A path along deep learning for medical image analysis : With focus on burn wounds and brain tumors
Sammanfattning : The number of medical images that clinicians need to review on a daily basis has increased dramatically during the last decades. Since the number of clinicians has not increased as much, it is necessary to develop tools which can help doctors to work more efficiently. LÄS MER
2. On Medical Image Segmentation With Noisy Labels
Sammanfattning : It is well known that data sets used for training and testing automatic medical image segmentation methods often contain a lot of label noise. Such noise affects the performance of the methods and has been subject to a lot of research. LÄS MER
3. Resource efficient automatic segmentation of medical images
Sammanfattning : Cancer is one of the leading causes of death worldwide. In 2020, there were around 10 million cancer deaths and nearly 20 million new cancer cases in the world. Radiation therapy is essential in cancer treatments because half of the cancer patients receive radiation therapy at some point. LÄS MER
4. Automatic Virus Identification using TEM : Image Segmentation and Texture Analysis
Sammanfattning : Viruses and their morphology have been detected and studied with electron microscopy (EM) since the end of the 1930s. The technique has been vital for the discovery of new viruses and in establishing the virus taxonomy. Today, electron microscopy is an important technique in clinical diagnostics. LÄS MER
5. Image Processing and Analysis Methods for Biomedical Applications
Sammanfattning : With new technologies and developments medical images can be acquired more quickly and at a larger scale than ever before. However, increased amount of data induces an overhead in the human labour needed for its inspection and analysis. LÄS MER