Hello World Deep Learning in Medical Imaging.
There is recent popularity in applying machine learning to medical imaging, notably deep learning, which has achieved state-of-the-art performance in image analysis and processing. The rapid adoption of deep learning may be attributed to the availability of machine learning frameworks and libraries...
| Published in: | Journal of Digital Imaging Vol. 31; no. 3; pp. 283 - 290 |
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| Main Authors: | , , , , |
| Format: | computer program diagnostic images tables/charts Journal Article |
| Published: |
Springer Nature
Jun2018
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| Online Access: | View this record in EBSCOhost |
| Summary: | There is recent popularity in applying machine learning to medical imaging, notably deep learning, which has achieved state-of-the-art performance in image analysis and processing. The rapid adoption of deep learning may be attributed to the availability of machine learning frameworks and libraries to simplify their use. In this tutorial, we provide a high-level overview of how to build a deep neural network for medical image classification, and provide code that can help those new to the field begin their informatics projects. |
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