Prostate cancer risk assessment using a radiogenomic analysis-Reference-Cited by-同舟云学术

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Prostate cancer risk assessment using a radiogenomic analysis

Published:2023-06-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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Author:

Fernandes Catarina Dinis¹,Schaap Annekoos¹,Kant Joan¹,Houdt Petra van²,Wijkstra Hessel³,Heide Uulke van der²,Zwart Wilbert⁴,Mischi Massimo¹,Eduati Federica¹,Turco Simona¹

Affiliation:

1. Eindhoven University of Technology,Eindhoven,The Netherlands

2. The Netherlands Cancer Institute,Amsterdam,The Netherlands

3. Eindhoven University of Technology & Amsterdam University Medical Centers,Eindhoven,Amsterdam,The Netherlands

4. Eindhoven University of Technology & The Netherlands Cancer Institute,Eindhoven,Amsterdam,The Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10171833/10171851/10171915.pdf?arnumber=10171915

Reference16 articles.

1. A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

2. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

3. Loss of CCAAT‐enhancer‐binding protein alpha (CEBPA) is linked to poor prognosis in PTEN deleted and TMPRSS2:ERG fusion type prostate cancers

4. Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging

5. Discovery and Validation of a Prostate Cancer Genomic Classifier that Predicts Early Metastasis Following Radical Prostatectomy

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