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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...

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Detalles Bibliográficos
Autores principales: Lakhani, Paras, Gray, Daniel L., Pett, Carl R., Nagy, Paul, Shih, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5959832/
https://www.ncbi.nlm.nih.gov/pubmed/29725961
http://dx.doi.org/10.1007/s10278-018-0079-6
Descripción
Sumario: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.