Add to ORKGThis work describes several methods that intend to solve such medical image processing tasks as extraction and 3D visualization of the region of interest (ROI). The proposed methods were tested on the medical images of a brain acquired by computer tomography and proven to be applicable to different types of ROI, resulting in a possible visualization of several ROI at once, i.e. pathology and the head of a patient. The results can be used to provide practical improvements to the reliability of medical diagnostics
This thesis describes research work undertaken in the field of image mining. More specifically, the ...
This work describes several methods that intend to solve such medical image processing task as 3D vi...
The maturity of current 3D rendering software in combination with recent developments in computer vi...
This paper describes approaches and methods that are aimed to solve various medical image processing...
Medical images of a brain, acquired with computer tomography (CT) or magnetic resonance (MR) are wid...
We consider the problem of characterization of spatial region data such as the regions of interest (...
We propose a framework for detecting, characterizing and classifying spatial Regions of Interest (RO...
AbstractThis paper introduces the rough representation of a region of interest (ROI) in medical imag...
Objectives: Introduction of a new atlas-based method for analyzing functional data which takes into ...
In recent times, ROI-based extraction and volume estimation of various brain tissue types has gained...
This work discusses fully automated extraction of brain tumor and edema in 3D MR volumes. The goal o...
This bachalor thesis deals with a region growing approach for segmentation of volumetric medical ima...
Segmentation of regions of interest from medical images such as brain tumors and anatomic parts of b...
The automatic and computerized recognition of Regions of Interest (ROI) is a crucial step in the pro...
This paper proposes algorithms for the analysis of sets of confocal microscope images of human brain...
This thesis describes research work undertaken in the field of image mining. More specifically, the ...
This work describes several methods that intend to solve such medical image processing task as 3D vi...
The maturity of current 3D rendering software in combination with recent developments in computer vi...
This paper describes approaches and methods that are aimed to solve various medical image processing...
Medical images of a brain, acquired with computer tomography (CT) or magnetic resonance (MR) are wid...
We consider the problem of characterization of spatial region data such as the regions of interest (...
We propose a framework for detecting, characterizing and classifying spatial Regions of Interest (RO...
AbstractThis paper introduces the rough representation of a region of interest (ROI) in medical imag...
Objectives: Introduction of a new atlas-based method for analyzing functional data which takes into ...
In recent times, ROI-based extraction and volume estimation of various brain tissue types has gained...
This work discusses fully automated extraction of brain tumor and edema in 3D MR volumes. The goal o...
This bachalor thesis deals with a region growing approach for segmentation of volumetric medical ima...
Segmentation of regions of interest from medical images such as brain tumors and anatomic parts of b...
The automatic and computerized recognition of Regions of Interest (ROI) is a crucial step in the pro...
This paper proposes algorithms for the analysis of sets of confocal microscope images of human brain...
This thesis describes research work undertaken in the field of image mining. More specifically, the ...
This work describes several methods that intend to solve such medical image processing task as 3D vi...
The maturity of current 3D rendering software in combination with recent developments in computer vi...