Image segmentation and registration algorithms are fundamental to assist medical doctors for better treatment of the patients. To this end accuracy in the results given by those algorithms is crucial. The surroundings of the organ to be segmented or registered can provide additional information that at the end improves the result. In this paper a novel algorithm to detect the organs that surround the liver is introduced. Even though our work is focused on the liver, the algorithm could be extended to other parts of the body. The algorithm has been tested in 24 clinical CT datasets. In addition to this, an example application is introduced for which the detection is a useful tool
Deriving liver vessel structure from CT scans manually is time consuming and error prone. An automat...
Identifying the liver region, calculation of the liver volume and determination of the vessel struct...
In the field of medical image processing, one of the current interests is the automatic segmentatio...
Image segmentation and registration algorithms are fundamental to assist medical doctors for better ...
Image segmentation and registration algorithms are fundamental to assist medical doctors for better ...
In all ways of our life advance development in technology is growing. To expand the medical fields h...
In the last decades several liver segmentation methods have been proposed. The proposed methods go f...
Automatic segmentation of liver in medical images is challenging on the aspects of accuracy, automat...
Automatic segmentation of liver in medical images is challenging on the aspects of accuracy, automat...
Human life is the most precious and valuable gift of God. The internal structure of human body is co...
The details of the work will be defined once the student reaches the destination institution.A fully...
Automatic detection of anatomical structures and regions in 3D medical images is important for sever...
Automatic detection of anatomical structures and regions in 3D medical images is important for sever...
Liver segmentation is important to speed up liver disease diagnosis. It is also useful for detection...
Automatic organ segmentation on a full-body scan image is a challenging task as most of the organ se...
Deriving liver vessel structure from CT scans manually is time consuming and error prone. An automat...
Identifying the liver region, calculation of the liver volume and determination of the vessel struct...
In the field of medical image processing, one of the current interests is the automatic segmentatio...
Image segmentation and registration algorithms are fundamental to assist medical doctors for better ...
Image segmentation and registration algorithms are fundamental to assist medical doctors for better ...
In all ways of our life advance development in technology is growing. To expand the medical fields h...
In the last decades several liver segmentation methods have been proposed. The proposed methods go f...
Automatic segmentation of liver in medical images is challenging on the aspects of accuracy, automat...
Automatic segmentation of liver in medical images is challenging on the aspects of accuracy, automat...
Human life is the most precious and valuable gift of God. The internal structure of human body is co...
The details of the work will be defined once the student reaches the destination institution.A fully...
Automatic detection of anatomical structures and regions in 3D medical images is important for sever...
Automatic detection of anatomical structures and regions in 3D medical images is important for sever...
Liver segmentation is important to speed up liver disease diagnosis. It is also useful for detection...
Automatic organ segmentation on a full-body scan image is a challenging task as most of the organ se...
Deriving liver vessel structure from CT scans manually is time consuming and error prone. An automat...
Identifying the liver region, calculation of the liver volume and determination of the vessel struct...
In the field of medical image processing, one of the current interests is the automatic segmentatio...