The segmentation of ear structures in computed tomography (CT) and magnetic resonance (MR) images has gained high importance in the last years. In this paper, we present a review on the segmentation algorithms presented in the literature. As such, several algorithms, approaches, related issues and problems are defined and explained. Additionally, their use is illustrated and discussed, and their advantages and disadvantages are pointed out.info:eu-repo/semantics/publishedVersio
Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain imag...
© 2008 Dr. Gavin R. BakerThe advent of non-invasive imaging techniques such as Cornputeci Tomography...
Abstract Background Segmentation of important structures in temporal bone CT is the basis of image-g...
In recent years, the segmentation, i.e. the identification, of ear structures in video-otoscopy, com...
The main goal of this project is to identify an efficient segmentation algorithm for each anatomic s...
Hereby it is presents a novel methodology to segment the internal structures of the human ear based ...
Abstract: Ear segmentation is considered as the first step of all ear biometrics systems while the o...
This paper investigates a new approach for the automated human identification using 2D ear imaging. ...
Automated segmentation of the incus and malleus ossicles in conventional 3D CT images This paper pro...
International audienceAbstract Temporal bone CT-scan is a prerequisite in most surgical procedures c...
Abstract Segmentation of anatomical structures is valuable in a variety of tasks, including 3D visua...
Active Contours Model is an image processing technique which is efficient for automatic ear detectio...
Computed tomography (CT) scans are acquired prior to cochlear implant (CI) surgery. Three-dimensiona...
Segmentation of tissues and structures from medical images is the first step in many image analysis ...
The human cochlea in the inner ear is the organ of hearing. Segmentation is a prerequisite step for ...
Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain imag...
© 2008 Dr. Gavin R. BakerThe advent of non-invasive imaging techniques such as Cornputeci Tomography...
Abstract Background Segmentation of important structures in temporal bone CT is the basis of image-g...
In recent years, the segmentation, i.e. the identification, of ear structures in video-otoscopy, com...
The main goal of this project is to identify an efficient segmentation algorithm for each anatomic s...
Hereby it is presents a novel methodology to segment the internal structures of the human ear based ...
Abstract: Ear segmentation is considered as the first step of all ear biometrics systems while the o...
This paper investigates a new approach for the automated human identification using 2D ear imaging. ...
Automated segmentation of the incus and malleus ossicles in conventional 3D CT images This paper pro...
International audienceAbstract Temporal bone CT-scan is a prerequisite in most surgical procedures c...
Abstract Segmentation of anatomical structures is valuable in a variety of tasks, including 3D visua...
Active Contours Model is an image processing technique which is efficient for automatic ear detectio...
Computed tomography (CT) scans are acquired prior to cochlear implant (CI) surgery. Three-dimensiona...
Segmentation of tissues and structures from medical images is the first step in many image analysis ...
The human cochlea in the inner ear is the organ of hearing. Segmentation is a prerequisite step for ...
Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain imag...
© 2008 Dr. Gavin R. BakerThe advent of non-invasive imaging techniques such as Cornputeci Tomography...
Abstract Background Segmentation of important structures in temporal bone CT is the basis of image-g...