Leveraging Pre-trained Models for Machine Learning on Cancer Datasets
Principal Investigator
Name
Daeyoung Hong
Degrees
Ph.D.
Institution
Myongji University
Position Title
Co-Principal Investigator
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1902
Initial CDAS Request Approval
Apr 30, 2025
Title
Leveraging Pre-trained Models for Machine Learning on Cancer Datasets
Summary
This project aims to investigate the effectiveness of pre-trained machine learning models when applied to cancer datasets. In medical domains annotated data is often limited, making transfer learning a valuable strategy. By utilizing pre-trained models, we aim to evaluate performance improvements in cancer classification tasks.
Aims
- We wish to demonstrate the benefits and limitations of using pre-trained models when applied to cancer datasets.
- We wish to assess fine-tuning strategies to cancer datasets.
- We wish to evaluate how representations learned from general data can be adapted to capture patterns in cancer diagnosis.
Collaborators
Woohwan Jung: Hanyang University