Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities
Principal Investigator
Name
Suryadipto Sarkar
Degrees
B.Tech (currently pursuing PhD)
Institution
Arizona State University
Position Title
Graduate Research Assistant
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-679
Initial CDAS Request Approval
Jun 22, 2020
Title
Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities
Summary
I want to explore the applicability of deep learning in the effective segmentation of classification of lesions from lung images. I intend to first use pre-trained models like GoogLeNet, AlexNet, VGGNet et cetera, on the images. Then I intend to design my own CNN classifier to see if I can improve the classification accuracy any further.
Aims
- Applicability of deep learning in classification and segmentation of abnormalities in lung images
- Transfer learning
- Few-shot learning
Collaborators
None