Add to ORKGThe algorithm to extract vertebrae and ribs from 2D CT images of human body is proposed. It provides reliable determining of rounded part of a vertebra, extraction of this bone together with ribs (if they touch the vertebra), and then detaching ribs from segmented image. The algorithm does not require any preliminary learning and can be applied to CT images of medical DICOM and usual graphic format
The identification of key features (e.g. organs and tumours) in medical scans (CT, MRI, etc.) is a v...
Abstract. Precise segmentation and identification of thoracic verte-brae is important for many medic...
This work presents three different methods for automatic detection of anatomical landmarks in CT dat...
The algorithm to extract vertebrae and ribs from 2D CT images of human body is proposed. It provides...
The algorithm of extraction and separation of vertebrae from collections of CT images is presented....
This thesis deals with design and implementation of an algorithm for segmentation of ribs from thora...
This paper deals with rib segmentation in thoracic CT data. For the segmentation method of rib cente...
Aim: To develop a method for automatic contour extraction from a 2D image. Material and Method: The ...
In this doctoral thesis, the design of algorithms enabling the implementation of a fully automatic s...
Abstract Background Bone segmentation is important in computed tomography (CT) imaging of the pelvis...
Although computer assistance has become common in medical practice, some of the most challenging tas...
Abstract—Rib cage structure and morphology is important for anatomical analysis of chest CT scans. A...
We have been developing a computer-aided diagnosis (CAD) scheme for automatically recognizing human ...
Automatic localization and identification of vertebrae in medical images of the spine are core requi...
In medical field, imaging techniques are used for diagnosis of different disease and carrying out tr...
The identification of key features (e.g. organs and tumours) in medical scans (CT, MRI, etc.) is a v...
Abstract. Precise segmentation and identification of thoracic verte-brae is important for many medic...
This work presents three different methods for automatic detection of anatomical landmarks in CT dat...
The algorithm to extract vertebrae and ribs from 2D CT images of human body is proposed. It provides...
The algorithm of extraction and separation of vertebrae from collections of CT images is presented....
This thesis deals with design and implementation of an algorithm for segmentation of ribs from thora...
This paper deals with rib segmentation in thoracic CT data. For the segmentation method of rib cente...
Aim: To develop a method for automatic contour extraction from a 2D image. Material and Method: The ...
In this doctoral thesis, the design of algorithms enabling the implementation of a fully automatic s...
Abstract Background Bone segmentation is important in computed tomography (CT) imaging of the pelvis...
Although computer assistance has become common in medical practice, some of the most challenging tas...
Abstract—Rib cage structure and morphology is important for anatomical analysis of chest CT scans. A...
We have been developing a computer-aided diagnosis (CAD) scheme for automatically recognizing human ...
Automatic localization and identification of vertebrae in medical images of the spine are core requi...
In medical field, imaging techniques are used for diagnosis of different disease and carrying out tr...
The identification of key features (e.g. organs and tumours) in medical scans (CT, MRI, etc.) is a v...
Abstract. Precise segmentation and identification of thoracic verte-brae is important for many medic...
This work presents three different methods for automatic detection of anatomical landmarks in CT dat...