Add to ORKGAbstract: This paper describes automatic 3D segmentation of human brain CT scans using data mining techniques. Brain scans are processed in 2D and 3D. Whole procedure has several steps – image preprocessing, segmentation, feature extraction from segments, data mining and post pro-cessing. Introduced method is implemented in 3D image processing extension for RapidMiner plat-form and both are provided as open source. Result performance of brain selection on testing data was 95.08%
This thesis addresses a specific problem of model-based segmentation; namely, the automatic identifi...
This portfolio thesis addresses several topics in the field of 3D medical image analysis. Automated ...
It always takes a skilled neurologist to detect a tumor in the MRI scans, which the numerologist doe...
This work describes segmentation methods used in image data processing, from which there are selecte...
This thesis is involved in image processing of medical data and its implementation using Java progra...
The objective of this thesis is to classify Magnetic Resonance brain images into component tissue ty...
This paper introduces an interactive and intelligent approach for accurate brain segmentation. A hig...
A fully automated approach is presented to extract brain efficiently from computed tomography (CT) h...
This thesis deals with possibilities of automatic segmentation of biomedical images. For the 3D imag...
This thesis presents the development of 3D Statistical Shape Models (SSMs) for automated segmentatio...
This thesis deals with the design, implementation and testing of an algorithm for segmentation of ce...
International audienceWe propose a twofold method that rst automatically builds a statistical shape ...
Abstract: Segmentation of medical images is challenging due to the poor image contrast and artifacts...
The paper deals with the problem of segmentation of ischemic stroke in the human brain computer tomo...
An automated method for segmenting magnetic resonance head images into brain and non-brain has been ...
This thesis addresses a specific problem of model-based segmentation; namely, the automatic identifi...
This portfolio thesis addresses several topics in the field of 3D medical image analysis. Automated ...
It always takes a skilled neurologist to detect a tumor in the MRI scans, which the numerologist doe...
This work describes segmentation methods used in image data processing, from which there are selecte...
This thesis is involved in image processing of medical data and its implementation using Java progra...
The objective of this thesis is to classify Magnetic Resonance brain images into component tissue ty...
This paper introduces an interactive and intelligent approach for accurate brain segmentation. A hig...
A fully automated approach is presented to extract brain efficiently from computed tomography (CT) h...
This thesis deals with possibilities of automatic segmentation of biomedical images. For the 3D imag...
This thesis presents the development of 3D Statistical Shape Models (SSMs) for automated segmentatio...
This thesis deals with the design, implementation and testing of an algorithm for segmentation of ce...
International audienceWe propose a twofold method that rst automatically builds a statistical shape ...
Abstract: Segmentation of medical images is challenging due to the poor image contrast and artifacts...
The paper deals with the problem of segmentation of ischemic stroke in the human brain computer tomo...
An automated method for segmenting magnetic resonance head images into brain and non-brain has been ...
This thesis addresses a specific problem of model-based segmentation; namely, the automatic identifi...
This portfolio thesis addresses several topics in the field of 3D medical image analysis. Automated ...
It always takes a skilled neurologist to detect a tumor in the MRI scans, which the numerologist doe...