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U-Net is an exceptional deep learning architecture that has gained immense popularity for its total game-changer performance in image segmentation tasks. Developed by Olaf Ronneberger, Philipp…
U-Net: A Versatile Deep Learning Architecture for Image Segmentation, by Alexquesada
U-Net: A Versatile Deep Learning Architecture for Image Segmentation, by Alexquesada
Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds-Scilight
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An overview of Unet architectures for semantic segmentation and biomedical image segmentation
Best Deep Learning Architectures for Image Recognition
The medicine imaging modality for diagnosis of lung cancer- LDCT, by Qiongwen Zhang
Image Segmentation with U-Net - Analytics Vidhya
Introductory guide to Vision Transformers
Key Intuition about AlexNet Architecture, by Hrithik Raj
Fine-Tuning Deep Learning with Hyperparameters
U-Net Explained: Understanding its Image Segmentation Architecture, by Conor O'Sullivan