File:Flowchart of the standard radiomics model.png
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English: Flowchart of the standard radiomics model. (1) Multiparametric MRI (mpMRI) image acquisition. (2) Segmentation: tumor labeling-green/white contour. (3) Imaging features extraction using shape, texture, and/or deep features derived from convolution neural network layers. (4) Clinical, radiomic features, molecular data for statistical analyses, based significance test and classifier models, to identify relevant features for predicting the clinical outcome (e.g., Gleason score). |
| Date | |
| Source | Chaddad, A.; Kucharczyk, M.J.; Cheddad, A.; Clarke, S.E.; Hassan, L.; Ding, S.; Rathore, S.; Zhang, M.; Katib, Y.; Bahoric, B.; Abikhzer, G.; Probst, S.; Niazi, T. Magnetic Resonance Imaging Based Radiomic Models of Prostate Cancer: A Narrative Review. Cancers 2021, 13, 552. https://doi.org/10.3390/cancers13030552 |
| Author | Chaddad, A.; Kucharczyk, M.J.; Cheddad, A.; Clarke, S.E.; Hassan, L.; Ding, S.; Rathore, S.; Zhang, M.; Katib, Y.; Bahoric, B.; Abikhzer, G.; Probst, S.; Niazi, T. |
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This file is licensed under the Creative Commons Attribution 4.0 International license.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 17:47, 4 February 2021 | | 5,392 × 1,853 (1.37 MB) | Balkanique (talk | contribs) | Uploaded a work by Chaddad, A.; Kucharczyk, M.J.; Cheddad, A.; Clarke, S.E.; Hassan, L.; Ding, S.; Rathore, S.; Zhang, M.; Katib, Y.; Bahoric, B.; Abikhzer, G.; Probst, S.; Niazi, T. from Chaddad, A.; Kucharczyk, M.J.; Cheddad, A.; Clarke, S.E.; Hassan, L.; Ding, S.; Rathore, S.; Zhang, M.; Katib, Y.; Bahoric, B.; Abikhzer, G.; Probst, S.; Niazi, T. Magnetic Resonance Imaging Based Radiomic Models of Prostate Cancer: A Narrative Review. Cancers 2021, 13, 552. https://doi.org/10.3390/cancers1... |
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