Results 31 to 40 of about 43,566 (284)
Head-Neck-Radiomics-HN1 data processed with Pyradiomics ready to use for data analysis [PDF]
, 2020 We downloaded Head-Neck-Radiomics-HN1, align CT and segmentation images and use PyRadiomics to extract all kind of features for data analysis. CSV contains all the features.
Oier Echaniz +5 more
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Comparison of Magnetic Resonance Imaging-Based Radiomics Features with Nomogram for Prediction of Prostate Cancer Invasion [PDF]
, 2023 Yang Liu X-Ray Department, The No.1 People’s Hospital of Huzhou, Huzhou, Zhejiang, 313000, People’s Republic of ChinaCorrespondence: Yang Liu, X-ray department, The No.1 People’s hospital of Huzhou, No.
Liu Y
core
CT-based radiomics for differentiating renal tumours: a systematic review [PDF]
, 2021 PURPOSE: Differentiating renal tumours into grades and tumour subtype from medical imaging is important for patient management; however, there is an element of subjectivity when performed qualitatively. Quantitative analysis such as radiomics may provide
Bhandari, Abhishta +5 more
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Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Cancer Imaging, 2023 Purpose Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity for the diagnosis of MBD, often ...
Abdalla Ibrahim +18 more
doaj +1 more source
Diagnostics, 2023 In recent years, radiomics has been among the most impactful topics in the research field of quantitative imaging [...]
Zerunian, Marta +2 more
openaire +3 more sources
Radiomics and Deep Radiomics for precision medicine
, 2021 {"references": ["E Bertelli, L Mercatelli, C Marzi, E Pachetti, M Baccini, et al. Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI., Fron in Oncology, 5515, 2021, https://doi.org/10.3389/fonc.2021.802964", "F Gioia, MA Pascali, A Greco, S Colantonio, EP Scilingo.
openaire +2 more sources
Application of radiomics in predicting the preoperative risk stratification of gastric stromal tumors [PDF]
, 2022 PURPOSEThe stomach is the most common site of gastrointestinal stromal tumors (GISTs). In this study, clinical model, radiomics models, and nomogram were constructed to compare and assess the clinical value of each model in predicting the preoperative ...
Gao-Feng Shi +5 more
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A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma [PDF]
, 2018 PURPOSE:We aimed to develop and validate a radiomics nomogram for preoperative prediction of microvascular invasion (MVI) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).METHODS:A total of 304 eligible patients with HCC were randomly ...
Jie Zhou +5 more
core +1 more source
Frontiers in Oncology, 2021 ObjectiveTo build and validate an MRI-based radiomics nomogram to predict the therapeutic response to neoadjuvant chemoradiotherapy (nCRT) in rectal mucinous adenocarcinoma (RMAC).MethodsTotally, 92 individuals with pathologically confirmed RMAC ...
Zhihui Li +9 more
doaj +1 more source
Applications and limitations of radiomics [PDF]
Physics in Medicine and Biology, 2016 Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe tumour phenotypes. Radiomic features have recently drawn considerable interest due to its potential predictive power for treatment outcomes and cancer genetics, which may have important applications in personalized ...
Stephen S F, Yip, Hugo J W L, Aerts
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