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I'm currently working on tumor detection project using dicom images as I'm beginner in it currently having a difficulty in segmenting each part in image and giving each segment a new colour.

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  • $\begingroup$ Can you give us a detailed description of your scientific problem! Analyse your question title,we can give a full book here. $\endgroup$ – quintumnia Oct 1 '18 at 16:27
  • $\begingroup$ I'm working on tumor detection having a difficulty by using watershed algo as it only segment the part of interest which have tumor but i have asked to segment each part in it as im beginner in matlab and image processing so facing a bit difficulty after when i will done with it.i will do feature extraction and svm classification also.i will appropriate if you recommend book $\endgroup$ – Shehnaz Ameer Oct 1 '18 at 16:43
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Deep learning based image segmentation is basically pixel-wise image classification.

So instead of predicting a $C$ dimensional vector $\vec{x}$ where $C$ corresponds to the number of class labels, you predict a tensor $x\in\mathbb{R}^{h\times w \times C}$ of the same height and width dimensions as your input image, and with $C$ channels which correspond to the different classes.

The paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" provides a good overview of the current methods.

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