Investigation of images

Principal Investigator

Name
akio iwase

Degrees
phd

Institution
TeraRecon

Position Title
Director of applied research and eng

Email
akio@terarecon.com

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-100

Initial CDAS Request Approval
Feb 5, 2015

Title
Investigation of images

Summary
Classification of nodule images at multiple levels and features and correlation with database.

Recent advance in the machine learning and specifically deep learning has been remarkably successful in various image classification problems. We propose to investigate the effectiveness of the deep learning technology for nodule detection. Specifically, deep learning network will be designed and trained using the data and will be used to compare with existing data for its effectiveness. It is further proposed to quantify the effectiveness of various nodule characteristics. Correlation with database will be investigated.

Aims

To achieve certain level of classification and lower level feature extraction that may highlight the relation with its growth