Investigation of images
Principal Investigator
Name
akio iwase
Degrees
phd
Institution
TeraRecon
Position Title
Director of applied research and eng
Email
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.
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