Image and Video Data Mining and Classification

Project: Research

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Description

This project aims to develop advanced data mining and analysis techniques for classification and annotation of digital images and video, especially those from biomedical applications. Robust image segmentation algorithms will be investigated to extract cells in noisy 3D microscopic images. Effective pattern matching based methods will be studied to track cell movements in videos. The pattern recognition algorithms will also be applied to the analysis of protein structures and biomolecular interactions. Techniques developed in this project can have many useful applications to the analysis of biological data, drug design and prediction of drug resistance.

Detail(s)

Project number9610308
Grant typeAPR
StatusActive
Effective start/end date1/01/14 → …