Research on pathological image processing of lung cancer based on deep learning
Principal Investigator
Name
Fang Tian
Degrees
Ph.D
Institution
Department of Computer Technology and Applications, Qinghai University
Position Title
Professor of Computer Technology and Applications
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-563
Initial CDAS Request Approval
Sep 6, 2019
Title
Research on pathological image processing of lung cancer based on deep learning
Summary
In order to solve the influence of doctor's subjective factors on the diagnosis results, this project combines the methods and theories of deep learning algorithms and medical pathology imaging to process and analyze the pathological images by identifying and classifying the tumor areas.
Aims
The main purpose of the project research is to identify and classify the tumor area of the pathological image, predict the degree of cancer in the patient, and play an auxiliary role in the decision of the pathologist.
Collaborators
Mengmeng Jia Department of Computer Technology and Applications, Qinghai University