Applications of Deep Learning to Neuro-Imaging Techniques

Many clinical applications based on deep learning and pertaining to radiology have been proposed and studied in radiology for classification, risk assessment, segmentation tasks, diagnosis, prognosis, and even prediction of therapy responses. There are many other innovative applications of AI in various technical aspects of medical imaging, particularly applied to the acquisition of images, ranging from removing image artifacts, normalizing/harmonizing images, improving image quality, lowering radiation and contrast dose, and shortening the duration of imaging studies. This article will address this topic and will seek to present an overview of deep learning applied to neuroimaging techniques.

• Publication year

  2019

• Venue

  Frontiers in Neurology

• Publication date

  2019-08-14

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.3389/fneur.2019.00869PMID 31474928PMCID 6702308
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Summary of evidence and recommendations

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• Deep Learning in Radiology.

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