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About Deep Learning For Cardiovascularmedicine: A Practical Primer
This document summarizes a research article that provides an overview of deep learning applications in cardiovascular medicine. Deep learning is a form of machine learning using multi-layered neural networks that has shown promise in areas like image classification and complex decision-making. The article discusses both the strengths and limitations of deep learning in cardiovascular medicine, including its ability to automate image interpretation and identify novel disease phenotypes, but also challenges like lack of interpretability and need for large labeled datasets. The review aims to provide context for clinicians and researchers on deep learning opportunities and challenges in the cardiovascular field.
Detailed Information
| Author: | ['silvia'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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