This study is based on Tensorflow implementation of pix2pix.

if you want to download the image dataset, please click here

DeepSlides uses a number of open source projects to work properly:

• [Python]
• [Tensorflow]
• [Numpy]

• Download and unzip trained network for ki67 stained breast cancer. (to "code\artificialKi67")

• Please create a png file. (\Testdata\xxx.png)

• The size of the square image should be 256*n X 256*n where n=1,2,3,...

• Draw the possitive and negative cells with green and red colors respectively.

• Also you can use yellow color to represent possitive cells with staining problem.

• Run createTissue.py --scale_size image size (256*n)

• note: Please be sure that images sizes are same in that folder.

• note: Please be sure that the annotated cells' area are realistic for 40x magnification

• Web based client GUI