نتایج جستجو برای: automatic segmentation

تعداد نتایج: 198737  

Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...

Journal: :iranian journal of medical physics 0
mohammad hosntalab ph.d., student, faculty of engineering, science and research branch, islamic azad university (iau), tehran, iran reza aghaeizadeh zoroofi associate professor, control and intelligent processing center of excellence, school of electrical and computer engineering, college of engineering, university of tehran, tehran, iran ali abbaspour tehrani-fard assistant professor, faculty of engineering, science and research branch, islamic azad university (iau), tehran, iran gholamreza shirani assistant professor, oral & maxillofacial surgery department, faculty of dentistry medical science of tehran university, tehran, iran

introduction: various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. in this regard, segmentation is a major step. material and methods: in this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...

Journal: :International Journal of Computer Applications 2014

Journal: :journal of medical signals and sensors 0
mahdad esmaeili alireza mehri dehnavi hossein rabbani fedra hajizadeh

this paper presents a new three-dimensional curvelet transform based dictionary learning for automatic segmentation of intraretinalcysts, most relevant prognostic biomarker in neovascular age-related macular degeneration, from 3d spectral-domain optical coherencetomography (sd-oct) images. in particular, we focus on the spectralis sd-oct (heidelberg engineering, heidelberg, germany) system, and...

Ali Abbaspour Tehrani-Fard Gholamreza Shirani Mohammad Hosntalab, Reza Aghaeizadeh Zoroofi

Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step. Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...

Introduction: Glaucoma is the most common cause of blindness in some countries. In the meantime, the field of retinal image processing has been proposed in order to provide automatic systems for disease diagnosis. Among the methods of medical image processing, image segmentation is a process of identification and change in the display of an image. The objective of this study was to use t...

Introduction: Glaucoma is the most common cause of blindness in some countries. In the meantime, the field of retinal image processing has been proposed in order to provide automatic systems for disease diagnosis. Among the methods of medical image processing, image segmentation is a process of identification and change in the display of an image. The objective of this study was to use t...

Journal: :journal of medical signals and sensors 0
alireza karimian simin jafari

automatic segmentation of multiple sclerosis (ms) lesions in brain magnetic resonance imaging (mri) has been widely investigated in the recent years with the goal of helping ms diagnosis and patient follow‑up. in this research work, gaussian mixture model (gmm) has been used to segment the ms lesions in mris, including t1‑weighted (t1‑w), t2‑w, and t2‑fluid attenuation inversion recovery. usual...

Journal: :journal of medical signals and sensors 0
hossein yousefi banaem hossein rabbani peyman adibi

barrett's mucosa is one of the most important diseases in upper gastrointestinal system that caused by gastroesophagus reflux. if left untreated, the disease will cause distal esophagus and gastric cardiaadenocarcinoma. the malignancy risk is very high in short segment barrett’s mucosa. therefore,lesion area segmentation can improve specialist decision for treatment. in this paper, we proposeda...

2005
Daniel Sýkora Jan Buriánek Jirí Zára

We introduce a novel example-based framework for reusing traditional cartoon drawings and animations. In contrast to previous approaches our aim is to design new characters and poses by combining fragments of the original artwork. Using standard image manipulation tool this task is tedious and time consuming. To reduce the amount of manual intervention we combine unsupervised image segmentation...

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