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Artificial intelligence in musculoskeletal oncological radiology

Matjaz Vogrin

Matjaz Vogrin

  • Department of Orthopaedic Surgery, University Medical CenterMaribor, Slovenia
  • Faculty of Medicine, University of MariborMaribor, Slovenia
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Vogrin, Matjaz
, 
Teodor Trojner

Teodor Trojner

Department of Orthopaedic Surgery, University Medical CenterMaribor, Slovenia
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Trojner, Teodor
 and 
Robi Kelc

Robi Kelc

  • Department of Orthopaedic Surgery, University Medical CenterMaribor, Slovenia
  • Faculty of Medicine, University of MariborMaribor, Slovenia
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Kelc, Robi
  
Nov 10, 2020
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Article Category: Review
Published Online: Nov 10, 2020
Page range: 1 - 6
Received: Jun 01, 2020
Accepted: Sep 29, 2020
DOI: https://doi.org/10.2478/raon-2020-0068
Keywords
© 2021 Matjaz Vogrin, Teodor Trojner, Robi Kelc, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Schematic illustration of the hierarchy of artificial intelligence and its machine learning and deep learning subfields.
Schematic illustration of the hierarchy of artificial intelligence and its machine learning and deep learning subfields.

Figure 2

Schematic presentation of a neural network. Regions of interests (ROI) are defined, either by user or by an automated computer process. These present the input cells (in pink) a neural network. For each ROI the neural network extracts and compute features within the hidden layers (in grey) by using pre-trained data sets. Finally, the output cell offers the final results in different possible forms (yes/no, final diagnosis, probability of malignancy etc.).
Schematic presentation of a neural network. Regions of interests (ROI) are defined, either by user or by an automated computer process. These present the input cells (in pink) a neural network. For each ROI the neural network extracts and compute features within the hidden layers (in grey) by using pre-trained data sets. Finally, the output cell offers the final results in different possible forms (yes/no, final diagnosis, probability of malignancy etc.).
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Medicine, Clinical Medicine, Internal Medicine, Haematology, Oncology, Radiology
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