I am using convolutional neural network to do classification for lung cancer data set
Hello Mahmoud Abouagwa ,
Which classes are you classifying into? Do you already have a training set?
As a starting point, below is an example of a wine classifier:
https://fr.mathworks.com/help/deeplearning/examples/wine-classification.html;jsessionid=c7c19bab0b0fe4e81b3ab91ea638
Jules
Dear,
If you need to find and extract tumor into a smaller image use this: http://www.mathworks.com/programs/ip_cd/ is a webinar on using matlab for image processing. It should be enough of an introductory on ways for you to find the tumor and get certain properties of it.
Regards
First you need to prepare a dataset for your input. For each sample you need a labels. If you are classiying tumors in lungs, how many types of lung cancers in your dataset? you should make a separate class for each type. This is the first step then you can use any type of CNN net like ALEXNet, etc. Lots of codes available on github.
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