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The validation set is a smaller set of data that you use to tune and optimize your machine learning algorithm. It contains the input features and the output labels that you do not use for training ...
Development and validation of deep learning-based automatic detection algorithm for malignant pulmonary nodules on chest radiographs. Radiology. 2019; 290:218-228. Crossref. Scopus (391) PubMed.
2.4 Model architecture and training. The deep learning model was based on a single, custom 3D U-Net architecture ().This architecture has been shown to be well-adapted to the complexity of medical ...
Background/aims To apply deep learning technology to develop an artificial intelligence (AI) system that can identify vision-threatening conditions in high myopia patients based on optical coherence ...
More recently, artificial intelligence (AI) methods—deep learning, specifically—have been proposed as promising alternatives. 11 Deep learning algorithms can automatically learn feature ...
Abstract: In recent years, deep reinforcement learning has increasingly contributed to the development of robotic applications and boosted research in robotics. Deep learning and model-free, ...
Highlighting this issue, the American College of Radiology–Data Science Institute has designated ENE identification as a key use case for artificial intelligence. 36 An advantage of deep learning is ...
Deep learning, which is a subset of AI (Artificial Intelligence), has been around since the 1950s. It’s focused on developing systems that mimic the brain’s neural network structure. Yet it ...