Magnetic resonance image segmentation for knee osteoarthritis using active shape models

2014 ◽  
Author(s):  
Sarah Samson Soh ◽  
Tan Tian Swee ◽  
Sim Siew Ying ◽  
Chuah Zhi En ◽  
Mohd Nizam bin Mazenan ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Knee Osteoarthritis ◽  
Magnetic Resonance Image ◽  
Active Shape Models ◽  
Shape Models ◽  
Active Shape

scholarly journals Intensity Profiles in Active Shape Model

2020 ◽  
Vol 34 (5) ◽  
pp. 531-539
Author(s):  
Moulkheir Naoui ◽  
Ghalem Belalem
Keyword(s):  
Image Segmentation ◽  
Active Shape Model ◽  
Complex Structures ◽  
Shape Model ◽  
Object Shape ◽  
Active Shape Models ◽  
Matching Process ◽  
Shape Models ◽  
Active Shape ◽  
The Right

Active shape model is a deformable model which has proven very successful results in the field of image segmentation. The success of ASM model lies in its ability to find the right positions of all landmark points which define the object shape. Intensity profiles are an important part of the Active Shape Models (ASM) which help steer and optimize matching process. However, their simplicity in the standard version of the ASM turns into weakness. The difficulties are met when they are applied to complex structures. The main purpose of this paper is to give a review and discussion about the alternatives proposed in the literature that provide more elaborated intensity models and their impact on the performance of ASM.

scholarly journals Uterine magnetic resonance image segmentation based on deep learning

2021 ◽  
Vol 1861 (1) ◽  
pp. 012067
Author(s):  
Yu’ang Niu ◽  
Yuanyang Zhang ◽  
Liping Ying ◽  
Hong Li ◽  
Wenbo Chen ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Magnetic Resonance Image
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