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Automatic Detection and Classification System for Lung Lesion

Principal Investigator

Name
Takashi Shirahata

Degrees
M.Eng.

Institution
Hitachi, Ltd.

Position Title
Manager

Email
takashi.shirahata.hq@hitachi.com

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-302

Initial CDAS Request Approval
Apr 27, 2017

Title
Automatic Detection and Classification System for Lung Lesion

Summary
We have already developed the algorithm to detect the pulmonary lesions so as to improve the image interpretation efficiency and accuracy in the lung CT screenings. In this study, we evaluate and improve our algorithm by these data sets. Furthermore we will develop the new algorithm to classify the detected lung lesions.

Aims

 ・To evaluate and improve the automatic lung lesion detection algorithm
・To develop the automatic lung lesion classification algorithm

Collaborators

Hitachi, Ltd.