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A deep look into radiomics
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
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 …
Prostate cancer detection using deep convolutional neural networks
Prostate cancer is one of the most common forms of cancer and the third leading cause of
cancer death in North America. As an integrated part of computer-aided detection (CAD) …
cancer death in North America. As an integrated part of computer-aided detection (CAD) …
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 …
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 …
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 …
Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging
Tumour heterogeneity in cancers has been observed at the histological and genetic levels,
and increased levels of intra-tumour genetic heterogeneity have been reported to be …
and increased levels of intra-tumour genetic heterogeneity have been reported to be …