As in the discussion forum i was being told that U-Net is covered in cnn part tutorial.
But i have completed but didn’t found about “u-net”
So, sir please tell me from where i can study about its hyperparameter tuning and architecture to solve lung cancer segmentation??
please help me
Hi, Queen.
As already told, U-net is basically an extension of “Convolutional Neural Network” . The CNN architecture is covered in lecture.
To know about the U-Net architecture kindly refer to the below research papers.
http://cs231n.stanford.edu/reports/2017/pdfs/518.pdf
You can check this code used U-net for Image segmentations for car datasets. You can replace with lung cancer datasets.
–> https://github.com/rajat-1994/Unet-for-Image-Segmentation/blob/master/Carvana-segmentation.ipynb
For datasets and to know more about Lung cancers, kindly refer to the below.
https://www.kaggle.com/c/data-science-bowl-2017
https://www.mayoclinic.org/diseases-conditions/lung-cancer/diagnosis-treatment/drc-20374627
All the best!
Thank You Sir,
Sir there is no tutorial in the course for using keras only in cnn.
So please suggest a tutorial for keras in cnn/deep learning or if it is in the course then in which section?