Hybrid descriptive‐inferential method for key feature selection in prostate cancer radiomics-Reference-Cited by-同舟云学术

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Hybrid descriptive‐inferential method for key feature selection in prostate cancer radiomics

Published:2021-08-31 Issue:5 Volume:37 Page:961-972
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stochastic Models Bus Ind

Author:

Barone Stefano¹^ORCID,Cannella Roberto²,Comelli Albert³⁴^ORCID,Pellegrino Arianna⁵,Salvaggio Giuseppe²,Stefano Alessandro⁴,Vernuccio Federica²

Affiliation:

1. Dipartimento di Scienze Agrarie, Alimentari e Forestali Università degli Studi di Palermo Palermo Italy

2. Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata Università degli Studi di Palermo Palermo Italy

3. Fondazione Ri.MED Palermo Italy

4. Istituto di Bioimmagini e Fisiologia Molecolare, Consiglio Nazionale delle Ricerche (IBFM‐CNR) Cefalù Italy

5. Dipartimento di Ingegneria Meccanica e Aerospaziale Politecnico di Torino Turin Italy

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2642

Reference32 articles.

1. AfferniP MeroneM SodaP.Hospital 4.0 and its innovation in methodologies and technologies. Proceedings of the IEEE 31st International Symposium on Computer‐Based Medical Systems (CBMS); 2018:333‐338; Karlstad.https://doi.org/10.1109/CBMS.2018.00065

2. Radiomics: Images Are More than Pictures, They Are Data

3. Radiomics: the facts and the challenges of image analysis

4. A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method

5. Radiomics and Prostate MRI: Current Role and Future Applications

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