Scinovex
Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Radiomics and Machine Learning in Medical Imaging

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.

127.7K works worldwide782.4K citations
RadiomicsMedical ImagingQuantitative AnalysisFeature ExtractionTumor HeterogeneityMachine LearningCancer ImagingPredictive ModelingTexture AnalysisPrecision Medicine

Journals publishing in this area

Articles on Scinovex in this research area

4 articles, most cited first

  1. Lung cancer detection using transfer learning and hybrid deep learning models: A review
    International Journal of Statistics and Applied Mathematics · 2026 · 0 citations
  2. Comparative evaluation of dual-energy X-ray absorptiometry (DEXA) and biochemical bone markers (P1NP, and Vitamin D3)
    International Journal of Advanced Biochemistry Research · 2025 · 0 citations
  3. Record of pests infesting snake gourd, Tricosanthes cucumerina L. and their seasonal incidence
    International Journal of Agriculture and Food Science · 2025 · 0 citations
  4. Lung cancer prediction: A performance analysis of machine learning classifiers
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations