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.
Medical AI Lab @ EWHA
52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760 Republic of Korea
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