A deep look into radiomics
C Scapicchio, M Gabelloni, A Barucci, D Cioni… - La radiologia …, 2021 - Springer
Radiomics is a process that allows the extraction and analysis of quantitative data from
medical images. It is an evolving field of research with many potential applications in …
medical images. It is an evolving field of research with many potential applications in …
[HTML][HTML] Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
Medical image processing and analysis (also known as Radiomics) is a rapidly growing
discipline that maps digital medical images into quantitative data, with the end goal of …
discipline that maps digital medical images into quantitative data, with the end goal of …
Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma
X Xu, HL Zhang, QP Liu, SW Sun, J Zhang, FP Zhu… - Journal of …, 2019 - Elsevier
Background & Aims Microvascular invasion (MVI) impairs surgical outcomes in patients with
hepatocellular carcinoma (HCC). As there is no single highly reliable factor to preoperatively …
hepatocellular carcinoma (HCC). As there is no single highly reliable factor to preoperatively …
Radiomics: images are more than pictures, they are data
In the past decade, the field of medical image analysis has grown exponentially, with an
increased number of pattern recognition tools and an increase in data set sizes. These …
increased number of pattern recognition tools and an increase in data set sizes. These …
MR imaging of rectal cancer: radiomics analysis to assess treatment response after neoadjuvant therapy
N Horvat, H Veeraraghavan, M Khan, I Blazic, J Zheng… - Radiology, 2018 - pubs.rsna.org
Purpose To investigate the value of T2-weighted–based radiomics compared with
qualitative assessment at T2-weighted imaging and diffusion-weighted (DW) imaging for …
qualitative assessment at T2-weighted imaging and diffusion-weighted (DW) imaging for …
The global research of artificial intelligence on prostate cancer: a 22-year bibliometric analysis
Background With the rapid development of technology, artificial intelligence (AI) has been
widely used in the diagnosis and prognosis prediction of a variety of diseases, including …
widely used in the diagnosis and prognosis prediction of a variety of diseases, including …
Radiomic profiling of glioblastoma: identifying an imaging predictor of patient survival with improved performance over established clinical and radiologic risk models
Purpose To evaluate whether radiomic feature–based magnetic resonance (MR) imaging
signatures allow prediction of survival and stratification of patients with newly diagnosed …
signatures allow prediction of survival and stratification of patients with newly diagnosed …
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
Background The large volume and suboptimal image quality of portable chest X-rays
(CXRs) as a result of the COVID-19 pandemic could post significant challenges for …
(CXRs) as a result of the COVID-19 pandemic could post significant challenges for …
Harmonization strategies for multicenter radiomics investigations
Carrying out large multicenter studies is one of the key goals to be achieved towards a faster
transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics …
transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics …
Repeatability of multiparametric prostate MRI radiomics features
In this study we assessed the repeatability of radiomics features on small prostate tumors
using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI). The premise of …
using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI). The premise of …