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Developments in AI and Machine Learning for Neuroimaging

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Part of the Lecture Notes in Computer Science book series (LNCS, volume 12090)

Abstract

This paper reviews guidelines on how medical imaging analysis can be enhanced by Artificial Intelligence (AI) and Machine Learning (ML). In addition to outlining current and potential future developments, we also provide background information on chemical imaging and discuss the advantages of Explainable AI. We hypothesize that it is a matter of AI to find an invariably recurring parameter that has escaped human attention (e.g. due to noisy data). There is great potential in AI to illuminate the feature space of successful models.

Keywords

Explainable AI Stereology Neurodegenerative diseases Neuroimaging Disector 7 T post-mortem MRI Brain mapping 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of PathologyFaculdade de Medicina Universidade de Sao PauloSão PauloBrazil
  2. 2.HCI-KDD, Holzinger Group, Institute for Medical Informatics and StatisticsMedical University of GrazGrazAustria
  3. 3.Department of Cognitive Linguistic and Psychological SciencesCarney Institute for Brain Science, Brown UniversityProvidenceUSA
  4. 4.Department of Computer Science and Information SystemsTeesside UniversityMiddlesbroughUK
  5. 5.Healthcare Innovation CentreTeesside UniversityMiddlesbroughUK

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