Radiomics feature reproducibility under inter-rater variability in segmentations of CT images
Identifying image features that are robust with respect to segmentation variability is a tough
challenge in radiomics. So far, this problem has mainly been tackled in test–retest analyses …
challenge in radiomics. So far, this problem has mainly been tackled in test–retest analyses …
State of the art: radiomics and radiomics-related artificial intelligence on the road to clinical translation
Radiomics and artificial intelligence carry the promise of increased precision in oncologic
imaging assessments due to the ability of harnessing thousands of occult digital imaging …
imaging assessments due to the ability of harnessing thousands of occult digital imaging …
Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility
NW Schurink, SR van Kranen, S Roberti… - European …, 2022 - Springer
Objectives To investigate sources of variation in a multicenter rectal cancer MRI dataset
focusing on hardware and image acquisition, segmentation methodology, and radiomics …
focusing on hardware and image acquisition, segmentation methodology, and radiomics …
Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset
In this study, we tested and compared radiomics and deep learning-based approaches on
the public LUNG1 dataset, for the prediction of 2-year overall survival (OS) in non-small cell …
the public LUNG1 dataset, for the prediction of 2-year overall survival (OS) in non-small cell …
[HTML][HTML] Radiomics for predicting survival in patients with locally advanced rectal cancer: a systematic review and meta-analysis
Y Feng, J Gong, T Hu, Z Liu, Y Sun… - Quantitative Imaging in …, 2023 - ncbi.nlm.nih.gov
Background Radiomics has recently received considerable research attention for providing
potential prognostic biomarkers for locally advanced rectal cancer (LARC). We aimed to …
potential prognostic biomarkers for locally advanced rectal cancer (LARC). We aimed to …
Robustness of pulmonary nodule radiomic features on computed tomography as a function of varying radiation dose levels—a multi-dose in vivo patient study
GA Bartholomeus, WAC van Amsterdam, AM Harder… - European …, 2023 - Springer
Objective Analysis of textural features of pulmonary nodules in chest CT, also known as
radiomics, has several potential clinical applications, such as diagnosis, prognostication …
radiomics, has several potential clinical applications, such as diagnosis, prognostication …
Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation
S Thulasi Seetha, E Garanzini, C Tenconi… - Journal of Personalized …, 2023 - mdpi.com
Stability analysis remains a fundamental step in developing a successful imaging biomarker
to personalize oncological strategies. This study proposes an in silico contour generation …
to personalize oncological strategies. This study proposes an in silico contour generation …
Radiomics and machine learning methods for 2-year overall survival prediction in non-small cell lung cancer patients
A Braghetto - 2021 - thesis.unipd.it
In recent years, the application of radiomics to lung cancer show encouraging results in the
prediction of histological outcomes, survival times, staging of the disease and so on. In this …
prediction of histological outcomes, survival times, staging of the disease and so on. In this …