Search for dissertations about: "Region Segmentation"

Showing result 1 - 5 of 43 swedish dissertations containing the words Region Segmentation.

2. 1. Improving Multi-Atlas Segmentation Methods for Medical Images

   Author : Jennifer Alvén; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Supervised learning; semantic segmentation; multi-atlas segmentation; conditional random fields; label fusion; feature-based registration; image registration; random decision forests; convolutional neural networks; medical image segmentation;

   Abstract : Semantic segmentation of organs or tissues, i.e. delineating anatomically or physiologically meaningful boundaries, is an essential task in medical image analysis. One particular class of automatic segmentation algorithms has proved to excel at a diverse set of medical applications, namely multi-atlas segmentation. READ MORE

4. 2. Data-Efficient Learning of Semantic Segmentation

   Author : David Nilsson; Mathematical Imaging Group; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; semantic segmentation; embodied learning; active learning; semantic video segmentation; computer vision; deep learning;

   Abstract : Semantic segmentation is a fundamental problem in visual perception with a wide range of applications ranging from robotics to autonomous vehicles, and recent approaches based on deep learning have achieved excellent performance. However, to train such systems there is in general a need for very large datasets of annotated images. READ MORE

5. 3. Spatially Adaptive Analysis and Segmentation of Polarimetric SAR Data

   Author : Wei Wang; Yifang Ban; Jianwei Wan; Xiaoxiang Zhu; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Polarimetric SAR; Spatially adaptive; Edge detection; Spherically invariant random vector SIRV ; Superpixel; Simple linear iterative clustering SLIC ; Entropy rate; Segmentation;

   Abstract : In recent years, Polarimetric Synthetic Aperture Radar (PolSAR) has been one of the most important instruments for earth observation, and is increasingly used in various remote sensing applications. Statistical modelling and scattering analysis are two main ways for PolSAR data interpretation, and have been intensively investigated in the past two decades. READ MORE

6. 4. Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection

   Author : Kristína Lidayová; Hans Frimmel; Ewert Bengtsson; Örjan Smedby; Alejandro F. Frangi; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; medical image analysis; automatic skeleton extraction; vascular segmentation; coverage segmentation; convolutional neural network classifier; CT angiography; Computerized Image Processing; Datoriserad bildbehandling;

   Abstract : Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-resolution 3D images of the inside of the patient's body without the need for invasive procedures. Detailed images of the vascular anatomy can be captured by angiography, providing a valuable source of information when deciding whether a vascular intervention is needed, for planning treatment, and for analyzing the success of therapy. READ MORE

7. 5. Interpretation and Alignment of 2D Indoor Maps : Towards a Heterogeneous Map Representation

   Author : Saeed Gholami Shahbandi; Björn Åstrand; Roland Philippsen; Antanas Verikas; Patric Jensfelt; Högskolan i Halmstad; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Robotics; Mobile Robots; Autonomous Robots; Robot Perception; Robotic Mapping; Map Interpretation; Semantic Mapping; Place Categorization; Place Labeling; Semantic Annotation; Map Alignment; Region Segmentation; Region Decomposition; Map Representation; Heterogeneous Representation;

   Abstract : Mobile robots are increasingly being used in automation solutions with notable examples in service robots, such as home-care, and warehouses. Autonomy of mobile robots is particularly challenging, since their work space is not deterministic, known a priori, or fully predictable. READ MORE