UNET for Polyp Segmentation in TensorFlow 2.0 (Keras) | Semantic Segmentation | Deep Learning

#unet #polypsegmentation

In this video, we are going to build another semantic segmentation model using the famous UNET architecture for Polyp Segmentation.

Things, we are going to learn
1. What is Polyp
2. What is Semantic Segmentation
3. What is U-Net
4. Dataset
5. Project structure
6. Implementation

What is a polyp?
A polyp is a growth of tissue on the lining of the colon and rectum that projects into the intestines.

What is semantic segmentation?
The goal of semantic image segmentation is to label each pixel of an image with a corresponding class. It is also called Dense prediction.

What is U-Net?
U-Net is a fully convolutional neural network that was developed by Olaf Ronneberger. It was specially developed for the purpose of biomedical image segmentation.

BLOG: https://idiotdeveloper.com/polyp-segm...
CODE: https://github.com/nikhilroxtomar/Pol...

UNET Implementation in TensorFlow: https://idiotdeveloper.com/unet-imple...

DATASET:
https://polyp.grand-challenge.org/CVC...
https://www.dropbox.com/s/p5qe9eotetj...

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