Using DICOM images (CT Scan ) as an input to CNN

I am working on a project where i have to input CT images of all the patients into the CNN for training. CNN is to be trained to predict response (Binary response like yes or No) depending on the features extracted by CNN from the segmented area in each CT dataset(DCOM images)

How to proceed further or is there any specific tool for this, which can help me to design the CNN architecture which takes in the Dicom images as the input and learn from it, depending on the labelled data for response.

Answer 1

[Sid Singh]

Hi, you can find more information and examples about how CNNs work in MATLAB here,

https://www.mathworks.com/solutions/deep-learning/convolutional-neural-network.html

[kundan chufal]

Thanks for the link it was helpful to some extent. I have basic understanding of CNN. I am stuck with DICOM images. Because dicom is a stack of images for one particular case.

My specific question was how to prepare dicom images in such a way that they are ready as input for CNN.

[Rahimi Zahari]

Have you managed to work with the dicom images for CNN?