Radiomics and Machine Learning in Medical Imaging
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Scope of this subject
This cluster of papers focuses on the application of radiomics, a quantitative analysis of medical images, particularly in the context of cancer imaging and precision medicine. It explores the extraction of advanced features from medical images, the use of machine learning for predictive modeling, and the assessment of tumor heterogeneity through texture analysis.
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Research vocabulary
radiomics; preoperative prediction; radiomic features; radiogenomics; LASSO feature selection; radiomics signature; CT radiomics; MRI radiomics; radiomics nomogram; CT texture analysis; contrast-enhanced T1-weighted imaging; radiomic feature selection; non-invasive prediction; gray level run length matrix; PyRadiomics; radiomics score; quantitative imaging features; deep learning radiomics; delta radiomics; ultrasound radiomics; peritumoral region; radiomic feature extraction; Rad-score; MRI texture analysis; radiomics model
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No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 38351243680558502 · morton4x16-v1
Coordinates: (4, 27, 2741, 12422). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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