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Visar resultat 1 - 5 av 363 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Analysis of Wnt ligands and Fz receptors in Ecdysozoa : Investigating the evolution of segmentation

   Författare :Mattias Hogvall; Ralf Janssen; Graham Budd; Andreas Hejnol; Javier Ortega-Hernández; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Segmentation; Onychophora; Wnt genes; Frizzled; Hox genes; Priapulida; Biology with specialization in Evolutionary Organismal Biology; Biologi med inriktning mot evolutionär organismbiologi;

   Sammanfattning : .... LÄS MER

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

   Författare :Jennifer Alvén; Chalmers tekniska högskola; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

4. 3. Segmentation and fitting for geometric reverse engineering : processing data captured by a laser profile scanner mounted on an industrial robot

   Författare :Mohamed Rahayem; Johan Kjellander; Sören Hilmerby; Naoufel Werghi; Örebro universitet; []
   Nyckelord :Geometric Reverse Engineering; Industrial robot; Laser profile scanner; Segmentation; Fitting; TECHNOLOGY; TEKNIKVETENSKAP; Mechanical engineering; Maskinteknik; Maskinteknik; Mechanical Engineering;

   Sammanfattning : Geometric Reverse Engineering (GRE) is the problem of creating CAD models of real objects by measuring point data from their surfaces. The GRE process is usually divided into four sub processes, data capturing, preprocessing, segmentation, fitting and finally CAD model creation. To automate the GRE process the sub processes need to be integrated. LÄS MER

5. 4. Segmentation and Visualisation of Human Brain Structures

   Författare :Roger Hult; Ewert Bengtsson; Lennart Thurfjell; Håkan Hall; Ingrid Agartz; Arvid Lundervold; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bildanalys; segmentation; visualisation; brain; cortex; hippocampus; autoradiography; MRI; PET; ROI; Bildanalys; Image analysis; Bildanalys; Computerized Image Analysis; datoriserad bildanalys;

   Sammanfattning : In this thesis the focus is mainly on the development of segmentation techniques for human brain structures and of the visualisation of such structures. The images of the brain are both anatomical images (magnet resonance imaging (MRI) and autoradigraphy) and functional images that show blood flow (functional magnetic imaging (fMRI), positron emission tomography (PET), and single photon emission tomograpy (SPECT)). LÄS MER

7. 5. Segmenting and Tagging Text with Neural Networks

   Författare :Yan Shao; Joakim Nivre; Jörg Tiedemann; Christian Hardmeier; Yue Zhang; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; neural networks; sequence labelling; multilinguality; word segmentation; sentence segmentation; morpheme segmentation; transliteration; joint word segmentation and POS tagging;

   Sammanfattning : Segmentation and tagging of text are important preprocessing steps for higher-level natural language processing tasks. In this thesis, we apply a sequence labelling framework based on neural networks to various segmentation and tagging tasks, including sentence segmentation, word segmentation, morpheme segmentation, joint word segmentation and part-of-speech tagging, and named entity transliteration. LÄS MER