Skip to Main Content

An official website of the United States government

Government Funding Lapse

Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit  cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.

use active learning to do the tumor segmentation.

Principal Investigator
Name
Sijie Wang
Degrees
B.S.
Institution
the university of Tokyo
Position Title
Researcher
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-595
Initial CDAS Request Approval
Oct 31, 2019
Title
use active learning to do the tumor segmentation.
Summary
in my study, i'll combine active learning with HCI techniques. aiming at when the dataset is limited, the oracles and the machine learning model can generate a well-labeled dataset. i'll use active learning especially, which will train limited data first , and send the most uncertain data to the oracle for a manual label. then the labeled data will be fed back to the dataset. After several generations, i hope we can get a solid database.
Aims

get a solid dataset when the dataset is limited.

Collaborators

Igarashi takeo