Lung cancer prognosis in CNUH
Principal Investigator
Name
Vi Vo Thi Tuong
Degrees
M.D.
Institution
Chonnam National University
Position Title
Master student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-640
Initial CDAS Request Approval
Feb 24, 2020
Title
Lung cancer prognosis in CNUH
Summary
- Comprehensive cancer prediction guides optimal cancer treatment based on an individual prognostic prediction simulation. It achieves rapid response therapy through real-time probability prediction of emergency diseases while influencing the survival of cancer patients.
- We want to develop a predictions platform for accurate, comprehensive cancer medical care. We automatically set and validate prognostic models using deep learning techniques based on survival data, such as treatment response, recurrence, and mortality.
- Using pathology images, the researchers discover and establish predictive models based on survival data.
- Establish and validate prognostic models based on survival data using structural analysis and deep learning techniques through automatic tumor extraction from pathology imaging.
- We want to develop a predictions platform for accurate, comprehensive cancer medical care. We automatically set and validate prognostic models using deep learning techniques based on survival data, such as treatment response, recurrence, and mortality.
- Using pathology images, the researchers discover and establish predictive models based on survival data.
- Establish and validate prognostic models based on survival data using structural analysis and deep learning techniques through automatic tumor extraction from pathology imaging.
Aims
My project focus on 2 problems:
- Segmentation the lung cancer region
- Prognosis the survival time of lung cancer patient
Collaborators
Vo Thi Tuong Vi - M.D