In the case of object detection or abnormal cell or tissue e.g., tumor, detection segmentation is an important part. Sometimes FCM and K-means clustering is used for segmentation. I want to know which method is best for segmentation in MRI or other radio imaging for the detection of abnormalities.
Deep learning is the state of the art now, so if you have a dataset you can train a network
There are a lot of methods such Algorithms Automatic or methods with constraint stochastic.
You can see these links:
https://arxiv.org/pdf/1603.02447
Technical Report A REVIEW ON MRI IMAGE SEGMENTATION TECHNIQUES
Hi;
You can read it in the following link:
Technical Report A REVIEW ON MRI IMAGE SEGMENTATION TECHNIQUES
Regards
Hi;
You can read it in the following link:
Technical Report A REVIEW ON MRI IMAGE SEGMENTATION TECHNIQUES
Regards
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