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A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
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Transformers in deep learning: Beginner’s guide explained

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...
CU Boulder News & Events

Building a Vision Transformer Model From Scratch

The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...
eTeknix

NVIDIA Transformer Model Brings Advanced DLSS 4 Features to All RTX GPUs

NVIDIA continues to push the boundaries of gaming graphics with its DLSS (Deep Learning Super Sampling) technology, which leverages artificial intelligence to enhance image resolution. Now, with the ...