Search for dissertations about: "CNNs"
Showing result 6 - 10 of 19 swedish dissertations containing the word CNNs.
-
6. Equivariant Neural Networks for Biomedical Image Analysis
Abstract : While artificial intelligence and deep learning have revolutionized many fields in the last decade, one of the key drivers has been access to data. This is especially true in biomedical image analysis where expert annotated data is hard to come by. READ MORE
-
7. Multi-Modal Deep Learning with Sentinel-1 and Sentinel-2 Data for Urban Mapping and Change Detection
Abstract : Driven by the rapid growth in population, urbanization is progressing at an unprecedented rate in many places around the world. Earth observation has become an invaluable tool to monitor urbanization on a global scale by either mapping the extent of cities or detecting newly constructed urban areas within and around cities. READ MORE
-
8. Resource efficient automatic segmentation of medical images
Abstract : 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. READ MORE
-
9. End-to-End Learning of Deep Structured Models for Semantic Segmentation
Abstract : The task of semantic segmentation aims at understanding an image at a pixel level. This means assigning a label to each pixel of an image, describing the object it is depicting. READ MORE
-
10. Vision-based Localization and Attitude Estimation Methods in Natural Environments
Abstract : Over the last decade, the usage of unmanned systems such as Unmanned Aerial Vehicles (UAVs), Unmanned Surface Vessels (USVs) and Unmanned Ground Vehicles (UGVs) has increased drastically, and there is still a rapid growth. Today, unmanned systems are being deployed in many daily operations, e.g. READ MORE