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... Join this channel to get access to the perks: / @idiotdeveloper FOLLOW ME: BLOG: https://idiotdeveloper.com https://sciencetonight.com FACEBOOK: / idiotdeveloper TWITTER: / nikhilroxtomar INSTAGRAM: https://instagram/nikhilroxtomar PATREON: / idiotdeveloper MY GEARS: Intel i5-7400: https://amzn.to/3ilpq95 Gigabyte GA-B250M-D2V: https://amzn.to/3oPuntd ZOTAC GeForce GTX 1060: https://amzn.to/2XNtsxn LG 22MP68VQ 22 inch IPS Monitor: https://amzn.to/3soUKs5 Corsair VENGEANCE LPX 16GB: https://amzn.to/2LVyR2L WD Green 240 GB SSD: https://amzn.to/3igt1Ft 1TB WD Blue: https://amzn.to/38I6uhw Corsair VS550 550W: https://amzn.to/3nILHi3 Zebronics BT4440RUCF 4.1 Speakers: https://amzn.to/2XGu203 Segate 1TB Portable Hard Disk: https://amzn.to/3bF8YPG Seagate Backup Plus Hub 8 TB External HDD: https://amzn.to/39wcqtj Maono AU-A04 Condenser Microphone: https://amzn.to/35HHiWC Techlicious 3.5mm Clip Microphone: https://amzn.to/3bERKSD Redgear Dagger Headphones: https://amzn.to/3ssZNYr
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