Radiological tumour classification across imaging modality and histology

Volume: 3, Issue: 9, Pages: 787 - 798
Published: Aug 9, 2021
Abstract
Radiomics refers to the high-throughput extraction of quantitative features from radiological scans and is widely used to search for imaging biomarkers for prediction of clinical outcomes. Current radiomic signatures suffer from limited reproducibility and generalizability, because most features are dependent on imaging modality and tumor histology, making them sensitive to variations in scan protocol. Here, we propose novel radiological...
Paper Details
Title
Radiological tumour classification across imaging modality and histology
Published Date
Aug 9, 2021
Volume
3
Issue
9
Pages
787 - 798
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