Stability of Radiomic Models and Strategies to Enhance Reproducibility
A Chaddad, X Liang - IEEE Transactions on Radiation and …, 2024 - ieeexplore.ieee.org
Radiomics is a progressive field aiming to quantitatively assess the diversity within and
between tumors using image analysis. It holds tremendous promise for tracking tumor …
between tumors using image analysis. It holds tremendous promise for tracking tumor …
Sub-region based radiomics analysis for prediction of isocitrate dehydrogenase and telomerase reverse transcriptase promoter mutations in diffuse gliomas
H Zhang, Y Ouyang, Y Zhang, R Su, B Zhou, W Yang… - Clinical Radiology, 2024 - Elsevier
AIM To enhance the prediction of mutation status of isocitrate dehydrogenase (IDH) and
telomerase reverse transcriptase (TERT) promoter, which are crucial for glioma …
telomerase reverse transcriptase (TERT) promoter, which are crucial for glioma …
Prediction of the benign and malignant nature of masses in COPD background based on Habitat-based enhanced CT radiomics modeling: A preliminary study
W Zuo, J Li, M Zuo, M Li, S Zhou… - Technology and Health …, 2024 - content.iospress.com
BACKGROUND: It is difficult to differentiate between chronic obstructive pulmonary disease
(COPD)-peripheral bronchogenic carcinoma (COPD-PBC) and inflammatory masses …
(COPD)-peripheral bronchogenic carcinoma (COPD-PBC) and inflammatory masses …
[HTML][HTML] Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review
Simple Summary Radiomics involves the extraction of quantitative features from medical
images, which can provide more detailed and objective information about the features of a …
images, which can provide more detailed and objective information about the features of a …
[PDF][PDF] Machine Learning in Brain Tumors and Their Habitat: A Systematic Review. Cancers 2023, 15, 3845. h ps
Radiomics is a rapidly evolving field that involves extracting and analysing quantitative
features from medical images, such as computed tomography or magnetic resonance …
features from medical images, such as computed tomography or magnetic resonance …
Computer-aided analysis of complex neurological data for age-based classification of upper limbs motor performance and radiomics-based survival prediction of brain …
A Shaheen - 2023 - air.uniud.it
Nowadays, the availability of an ever-increasing amount of digital medical data collected
through heterogeneous sources such as healthcare systems, sensors, and mobile consumer …
through heterogeneous sources such as healthcare systems, sensors, and mobile consumer …