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Radiology and Oncology
Volume 55 (2021): Issue 1 (March 2021)
Open Access
Artificial intelligence in musculoskeletal oncological radiology
Matjaz Vogrin
Matjaz Vogrin
,
Teodor Trojner
Teodor Trojner
and
Robi Kelc
Robi Kelc
| Nov 10, 2020
Radiology and Oncology
Volume 55 (2021): Issue 1 (March 2021)
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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
© 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.
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.).