Sökning: "Image Segmentation"
Visar resultat 1 - 5 av 210 avhandlingar innehållade orden Image Segmentation.
1. 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
2. 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
3. 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
4. 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
5. Graph-based Methods for Interactive Image Segmentation
Sammanfattning : The subject of digital image analysis deals with extracting relevant information from image data, stored in digital form in a computer. A fundamental problem in image analysis is image segmentation, i.e., the identification and separation of relevant objects and structures in an image. LÄS MER