[HTML][HTML] Discriminative dictionary learning for abdominal multi-organ segmentation
An automated segmentation method is presented for multi-organ segmentation in abdominal
CT images. Dictionary learning and sparse coding techniques are used in the proposed …
CT images. Dictionary learning and sparse coding techniques are used in the proposed …
The probabilistic active shape model: from model construction to flexible medical image segmentation
M Kirschner - 2013 - diglib.eg.org
Automatic processing of three-dimensional image data acquired with computed tomography
or magnetic resonance imaging plays an increasingly important role in medicine. For …
or magnetic resonance imaging plays an increasingly important role in medicine. For …
[PDF][PDF] Machine learning-based automated segmentation with a feedback loop for 3D synchrotron micro-CT
R Shkarin - 2021 - core.ac.uk
The development of the third-generation synchrotron light sources has established the
foundation for the investigation of the 3D structure of opaque samples at micrometer …
foundation for the investigation of the 3D structure of opaque samples at micrometer …
Shape Learning of 3D Surfaces of the Knee using different Image Segmentation Techniques
A Manzoor - NFC-IEER Journal of Engineering & Scientific …, 2017 - prdb.pk
Field of medical image analysis is evolving at a rapid pace. New advancements have
introduced big challenges in analysis and information extraction from the generated images …
introduced big challenges in analysis and information extraction from the generated images …
Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative
Traditional shape learning of medical image data has been implemented via Principal
Component Analysis (PCA). These PCA based statistical shape models batch process all …
Component Analysis (PCA). These PCA based statistical shape models batch process all …