How to consider each lesion area as a separate sample and extract features for training?
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Mohammad Farhad Aryan on 20 Mar 2020
Commented: Mohammad Farhad Aryan on 28 Mar 2020
I have fewer number of images for my project but every image has more than one lesion area so after segmentation, I want to consider every lesion area as a separate sample for the feature extraction step in order to increase the number of training samples. I got the idea from this paper 'Ra, S., Suhilb, M., & Guruc, D. S. (2015). Segmentation and classification of skin lesions for disease diagnosis. Procedia Computer Science, 45, 76-85.' but can not apply it in code.
A sample image after segmentation.
Any help is appreciated.
Ganesh Regoti on 26 Mar 2020
As per my understanding you want to implement given paper in MATLAB. Here is my answer
- There is a paper referenced to identify the lesions in an image, may be some algorithm is used to identify it. You can make use of regionprops for that.
- To make multiple samples after finding the lesions, you can use imcrop and save it as seperate file using imwrite.
- For understanding on how segmentation is done in MATLAB, you can refer the following link.https://www.mathworks.com/help/images/examples.html?category=image-segmentation
Hope this helps!
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