Add to ORKGThe algorithm of extraction and separation of vertebrae from collections of CT images is presented. For this purpose so-called topograms are used. The topogram image is a 2D image of whole patient body made from above. The algorithm finds automatically the spinal [vertebral] column and then separates vertebrae. It is designated for automatic and semi-automatic separation and counting vertebrae on collections of 2D CT images
We propose a semi-automatic algorithm for the segmentation of vertebral bodies in magnetic resonance...
In this paper we present an~efficient and robust vertebra segmentation algorithm for CT data. It pro...
This thesis deals with the detection and the segmentation of lumbar vertebrae in CT image datas. The...
The algorithm to extract vertebrae and ribs from 2D CT images of human body is proposed. It provides...
In this doctoral thesis, the design of algorithms enabling the implementation of a fully automatic s...
Automatic localization and identification of vertebrae in medical images of the spine are core requi...
Although computer assistance has become common in medical practice, some of the most challenging tas...
Segmentation and identification of the vertebrae in CT images are important steps for automatic anal...
This thesis deals with a segmentation of cortical parts of vertebrae from CT image datas in programm...
Identification of vertebrae type by machine learning is an important task to facilitate the work of ...
The accurate segmentation and identification of vertebrae presents the foundations for spine analysi...
Abstract. This paper presents a new method for automatic localiza-tion and identification of vertebr...
In this thesis we implement an automated Computer-Aided Detection (CADe) system for spine lesions us...
This work presents a new automated method for spinal canal detection in Computed Tomography (CT) ima...
We describe a method to automatically detect and label the vertebrae in human lumbar spine MRI scans...
We propose a semi-automatic algorithm for the segmentation of vertebral bodies in magnetic resonance...
In this paper we present an~efficient and robust vertebra segmentation algorithm for CT data. It pro...
This thesis deals with the detection and the segmentation of lumbar vertebrae in CT image datas. The...
The algorithm to extract vertebrae and ribs from 2D CT images of human body is proposed. It provides...
In this doctoral thesis, the design of algorithms enabling the implementation of a fully automatic s...
Automatic localization and identification of vertebrae in medical images of the spine are core requi...
Although computer assistance has become common in medical practice, some of the most challenging tas...
Segmentation and identification of the vertebrae in CT images are important steps for automatic anal...
This thesis deals with a segmentation of cortical parts of vertebrae from CT image datas in programm...
Identification of vertebrae type by machine learning is an important task to facilitate the work of ...
The accurate segmentation and identification of vertebrae presents the foundations for spine analysi...
Abstract. This paper presents a new method for automatic localiza-tion and identification of vertebr...
In this thesis we implement an automated Computer-Aided Detection (CADe) system for spine lesions us...
This work presents a new automated method for spinal canal detection in Computed Tomography (CT) ima...
We describe a method to automatically detect and label the vertebrae in human lumbar spine MRI scans...
We propose a semi-automatic algorithm for the segmentation of vertebral bodies in magnetic resonance...
In this paper we present an~efficient and robust vertebra segmentation algorithm for CT data. It pro...
This thesis deals with the detection and the segmentation of lumbar vertebrae in CT image datas. The...