Implementation of an Efficient and Fully Automated Magnetic Resonance Image Segmentation Through Machine Learning

2019 ◽  
pp. 345-360
Author(s):  
K. V. Sridhar ◽  
I. Hemanth Kumar
Keyword(s):  
Machine Learning ◽  
Image Segmentation ◽  
Magnetic Resonance ◽  
Magnetic Resonance Image

scholarly journals Performance Analysis of Clustering Based Image Segmentation Techniques

2020 ◽  
Vol 2 (1) ◽  
pp. 14-24 ◽  
Author(s):  
Dr. Samuel Manoharan
Keyword(s):  
Machine Learning ◽  
Image Segmentation ◽  
White Matter ◽  
Magnetic Resonance ◽  
Performance Analysis ◽  
Human Brain ◽  
Magnetic Resonance Image ◽  
Evaluation Process ◽  
Vital Role ◽  
Computer Assisted

As the images are examined using the latest machine learning process, the techniques for computing the images become highly essential. This computation applied over the images allows one to have an assessable information’s or values from the images. Since segmentation plays a vital role in processing of images by enhancing or hypothetically altering the images making the examination of valuable insights easier. Several procedures and the methods for segmenting the images have been developed. However to have an better process it is important to sort out an effective segmentation procedure, so the paper performs the analysis of the clustering based image segmentation techniques applied on the magnetic resonance image of the human brain to detect the white matter hyper intensities part. The evaluation process take place in the MATLAB to evince the accurate valuation procedure. The optimal procedure is sorted out to be used in observing and examining the medical images by implementing over a computer assisted tool.

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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