Search for dissertations about: "a review on image segmentation techniques"

Showing result 1 - 5 of 6 swedish dissertations containing the words a review on image segmentation techniques.

  2. 1. A path along deep learning for medical image analysis : With focus on burn wounds and brain tumors

    Author : Marco Domenico Cirillo; Anders Eklund; Veronika Cheplygina; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep learning; Medical image analysis; Burn wounds; Brain tumors; Image classification; Image segmentation; Image augmentation; CNNs; GANs;

    Abstract : 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. READ MORE

  4. 2. The stack mode review of volumetric datasets : applications for urinary stone disease

    Author : Mats Lidén; Håkan Geijer; Torbjörn Andersson; Anders Magnusson; Örebro universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; stack mode display; image visualization; image perception; computed tomography; urinary stones; urolithiasis; PACS; Medicine; Medicin;

    Abstract : During the last decades the acquisition and visualization of radiological images have rapidly evolved. The increasing amounts of volumetric image data particularly from modern CT systems necessitate a constant evolution of the radiological visualization techniques. READ MORE

  5. 3. The Magic of Vision: Understanding What Happens in the Process

    Author : Yuchong Zhang; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; affective colormap; automatic segmentation; Industrial tomography; visual comprehension;

    Abstract : How important is the human vision? Simply speaking, it is central for domain related users to understand a design, a framework, a process, or an application in terms of human-centered cognition. This thesis focuses on facilitating visual comprehension for users working with specific industrial processes characterized by tomography. READ MORE

  6. 4. Outlier Detection as a Safety Measure for Safety Critical Deep Learning

    Author : Jens Henriksson; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; outlier detection.; out-of-distribution; automotive perception;

    Abstract : Context: Deep learning (DL) has proven to be a valuable component in object detection and semantic segmentation tasks, as the techniques have shown significant performance gains compared to hand-made image processing algorithms. DL refers to an optimization process where a model learns properties and parameters itself through in iterative process running on labeled data. READ MORE

  7. 5. X-ray microcomputed tomography (µCT) as a potential tool in Geometallurgy

    Author : Pratama Istiadi Guntoro; Yousef Ghorbani; Jan Rosenkranz; Matthew Pankhurst; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; X-ray microcomputed tomography; geometallurgy; automated mineralogy; ore characterization; Mineral Processing; Mineralteknik;

    Abstract : In recent years, automated mineralogy has become an essential tool in geometallurgy. Automated mineralogical tools allow the acquisition of mineralogical and liberation data of ore particles in a sample. These particle data can then be used further for particle-based mineral processing simulation in the context of geometallurgy. READ MORE