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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
 y 
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
  
10 nov 2020
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Categoría del artículo: Review
Publicado en línea: 10 nov 2020
Páginas: 1 - 6
Recibido: 01 jun 2020
Aceptado: 29 sept 2020
DOI: https://doi.org/10.2478/raon-2020-0068
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© 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.).
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Medicina, Medicina Clínica, Medicina Interna, Hematología, oncología, Radiología
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