Deep learning Enables Multi-spectral Imaging for Histological Style Transformation
Project Description
By enabling multi-spectral imaging for histological style transformation, deep learning techniques contribute to improved visualization, analysis, and interpretation of histological images. This can aid pathologists, researchers, and medical professionals in tasks such as cancer detection, tissue classification, and disease characterization, ultimately leading to more accurate diagnoses and better patient outcomes.
Supervisor
WONG Tsz Wai
Quota
2
Course type
UROP1000
Applicant's Roles
As a research assistant to image biological tissues and maintain the imaging system. Then, he/she can proceed and work on the histological style transformation part.
Applicant's Learning Objectives
1. Biological tissue handling and imaging
2. Imaging system implementation and maintenance
3. Basic deep-learning algorithm exploration
2. Imaging system implementation and maintenance
3. Basic deep-learning algorithm exploration
Complexity of the project
Challenging