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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
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.