Sökning: "Deformable Part Models"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden Deformable Part Models.

1. 1. Towards Intelligent Deformable Models for Medical Image Analysis

   Författare :Ghassan Hamarneh; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; shape modeling; deformable models; principal component analysis; echocardiography; snakes; active shape models; deformable spatio-temporal shape models; medial-based shape profiles; statistical shape variation; spatio-temporal shape analysis; magnetic resonance imaging; hierarchical regional principal component analysis; oral lesions; dynamic programming; segmentation; spring-mass model; shape deformation; optical flow; medical image analysis; artificial life; physics-based modeling; deformable organisms; digital color images; medial axis; active contour models;

   Sammanfattning : Medical imaging continues to permeate the practice of medicine, but automated yet accurate segmentation and labeling of anatomical structures continues to be a major obstacle to computerized medical image analysis (MIA). Deformable models, with its profound roots in estimation theory, optimization, and physics-based dynamical systems, represent a powerful approach to the general problem of medical image segmentation. LÄS MER

3. 2. Visual Representations and Models: From Latent SVM to Deep Learning

   Författare :Hossein Azizpour; Stefan Carlsson; Barbara Caputo; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computer Vision; Machine Learning; Artificial Intelligence; Deep Learning; Learning Representation; Deformable Part Models; Discriminative Latent Variable Models; Convolutional Networks; Object Recognition; Object Detection; Computer Science; Datalogi;

   Sammanfattning : Two important components of a visual recognition system are representation and model. Both involves the selection and learning of the features that are indicative for recognition and discarding those features that are uninformative. LÄS MER

4. 3. Automatic Shape Modelling with Applications in Medical Imaging

   Författare :Anders Ericsson; Matematik LTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; heart-infarction; lung-embolie; Parkinson; DaTSCAN; SPECT; SCINT; affine shape; MDL; automatic shape models; Deformable models; active shape; Mathematics; Matematik;

   Sammanfattning : This thesis consists of two parts. The first part is devoted to automatic shape analysis and the second part is devoted to decision support systems in medical imaging. Shape models are widely used in segmentation and shape analysis. The thesis begins with a review of deformable models and the preliminaries of shape modelling. LÄS MER

5. 4. Robust Image Registration for Improved Clinical Efficiency : Using Local Structure Analysis and Model-Based Processing

   Författare :Daniel Forsberg; Hans Knutsson; Mats Andersson; Claes Lundström; Wiro Niessen; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image registration; deformable models; scoliosis; visualization; volume rendering; adaptive regularization; GPGPU; CUDA;

   Sammanfattning : Medical imaging plays an increasingly important role in modern healthcare. In medical imaging, it is often relevant to relate different images to each other, something which can prove challenging, since there rarely exists a pre-defined mapping between the pixels in different images. LÄS MER

7. 5. Data Driven Visual Recognition

   Författare :Omid Aghazadeh; Stefan Carlsson; Jiri Matas; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Visual Recognition; Data Driven; Supervised Learning; Mixture Models; Non-Parametric Models; Category Recognition; Novelty Detection;

   Sammanfattning : This thesis is mostly about supervised visual recognition problems. Based on a general definition of categories, the contents are divided into two parts: one which models categories and one which is not category based. We are interested in data driven solutions for both kinds of problems. LÄS MER