Retina Blood Vessel Segmentation using UNET in TensorFlow 2.0 (Keras) | Image Segmentation

#IdiotDeveloper #ImageSegmentation #UNET
Hello friends, welcome to another video on UNET segmentation. In this video, we are going to use the DRIVE (Digital Retinal Images for Vessel Extraction) dataset for Retina Vessel Segmentation. This complete program is built in TensorFlow 2.0 framework using Keras API.

CODE: https://github.com/nikhilroxtomar/Ret...

DATASET: https://www.kaggle.com/datasets/zionf...

Other semantic segmentation architecture implementation:
UNET:    • UNET Architecture in TensorFlow 2.0 (Keras...  
RESUNET:    • Implementing RESUNET in TensorFlow using K...  
VGG16 UNET:    • Pretrained VGG16 UNET in TensorFlow using ...  
VGG19 UNET:    • Pretrained VGG19 UNET in TensorFlow using ...  
RESNET50 UNET:    • Pretrained RESNET50 UNET in TensorFlow usi...  

Blog Post:
UNET Implementation in PyTorch: https://idiotdeveloper.com/unet-imple...
RESUNET Implementation in PyTorch: https://idiotdeveloper.com/resunet-im...
UNET Implementation in TensorFlow using Keras API: https://idiotdeveloper.com/unet-imple...
What is UNET: https://idiotdeveloper.com/what-is-unet/
What is RESUNET: https://idiotdeveloper.com/what-is-re...

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