Segmentation of osteosarcoma in MRI images by K‐means clustering, Chan‐Vese segmentation, and iterative Gaussian filtering

Segmentation of osteosarcoma in MRI images by K‐means clustering, Chan‐Vese segmentation, and iterative Gaussian filtering

Abstract Unlike other types of tumours, automated osteosarcoma segmentation in magnetic resonance images (MRI) is a challenging task due to its different and unique intensity and texture. This paper presents a technique for segmenting osteosarcoma in MRI images using a combination of image processin...

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Bibliographic Details
Main Authors: Mohamed Nasor, Walid Obaid
Format: Article
Language:English
Published: Wiley 2021-05-01
Series:IET Image Processing
Subjects:
Image recognition
Biomedical magnetic resonance imaging and spectroscopy
Computer vision and image processing techniques
Medical magnetic resonance imaging and spectroscopy
Patient diagnostic methods and instrumentation
Biology and medical computing
Online Access:https://doi.org/10.1049/ipr2.12106

Internet

https://doi.org/10.1049/ipr2.12106

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