Radiomic analysis: Prognosis Prediction Model for Lung Carcinoma Patient

[Radiomic analysis: Prognosis Prediction Model for Lung Carcinoma Patient]

BACKGROUND & OBJECTIVE

  • Radiomics deciphers encoded information within large amount of medical images to design personalized diagnosis and treatment by extracting and analyzing features with ultimate goal of obtaining predictive models.
  • Lung cancer is the leading cause of mortality and its prognosis is bad if it spreads. We tries building more accurate prognosis prediction model for both small-cell carcinoma and non small-cell carcinoma patients than TNM staging.

PROCESS