Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer-Reference-Cited by-同舟云学术

Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer

Published:2024-05-27 Issue: Volume:31 Page:1-4
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Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Del Corso Giulio¹,Pachetti Eva¹,Buongiorno Rossana¹,Rodrigues Ana Carolina²,Germanese Danila¹,Pascali M. Antonietta¹,Almeida José²,Rodrigues Nuno²,Tsiknakis Manolis³,Papanikolaou Nickolas²,Regge Daniele⁴,Marias Kostas³,Consortium ProCAncer-I¹,Colantonio Sara¹

Affiliation:

1. Institute of Information Science and Technologies,National Research Council of Italy,Pisa,Italy

2. Centre for the Unknown,Champalimaud Foundation,Lisbon,Portugal

3. Institute of Computer Science,Foundation for Research and Technology Hellas,Heraklion,Greece

4. Candiolo Cancer Institute,Department of Radiology,Candiolo,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635233.pdf?arnumber=10635233

Reference12 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Quantitative Analysis of Multiparametric Prostate MR Images: Differentiation between Prostate Cancer and Normal Tissue and Correlation with Gleason Score—A Computer-aided Diagnosis Development Study

3. Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection

4. Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores

5. Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI