Multimodal self-supervised medical image segmentation
Principal Investigator
Name
xin lin
Degrees
PhD
Institution
Hangzhou Dianzi University
Position Title
PhD
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1029
Initial CDAS Request Approval
Mar 21, 2023
Title
Multimodal self-supervised medical image segmentation
Summary
Recently, self-supervised algorithms have also achieved good results in the field of medical images, and we will consider applying the state-of-the-art self-supervised pre-training models to multimodal datasets to improve the performance of image segmentation.
Aims
Improving the accuracy of multimodal medical image segmentation.
Improving the performance of multimodal medical image segmentation.
Improve self-supervised models to make them perform better on medical images.
Collaborators
linxin, PhD， Hangzhou Dianzi University