# Radiomics and Machine Learning in Medical Imaging

{
  "id": "T12422",
  "title": "Radiomics and Machine Learning in Medical Imaging",
  "url": "/topics/T12422",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "7b33fe7c5aa8e492",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "38351243680558502",
  "address_version": "morton4x16-v1",
  "coordinates": [
    4,
    27,
    2741,
    12422
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

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.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T12422

No owner-reviewed local answer yet.