Professor GUOPING QIU's Outputs (24)

A novel polar space random field model for the detection of glandular structures (2014)
Journal Article
Fu, H., Qiu, G., Shu, J., & Ilyas, M. (2014). A novel polar space random field model for the detection of glandular structures. IEEE Transactions on Medical Imaging, 33(3), 764-776. https://doi.org/10.1109/TMI.2013.2296572

In this paper, we propose a novel method to detect glandular structures in microscopic images of human tissue. We first convert the image from Cartesian space to polar space and then introduce a novel random field model to locate the possible boundar... Read More about A novel polar space random field model for the detection of glandular structures.

Face hallucination based on sparse local-pixel structure (2013)
Journal Article
Li, Y., Cai, C., Qiu, G., & Lam, K.-M. (2014). Face hallucination based on sparse local-pixel structure. Pattern Recognition, 47(3), 1261-1270. https://doi.org/10.1016/j.patcog.2013.09.012

In this paper, we propose a face-hallucination method, namely face hallucination based on sparse local-pixel structure. In our framework, a high resolution (HR) face is estimated from a single frame low resolution (LR) face with the help of the facia... Read More about Face hallucination based on sparse local-pixel structure.

Automatic habitat classification using image analysis and random forest (2013)
Journal Article
Torres, M., & Qiu, G. (2014). Automatic habitat classification using image analysis and random forest. Ecological Informatics, 23, 126-136. https://doi.org/10.1016/j.ecoinf.2013.08.002

Habitat classification is important for monitoring the environment and biodiversity. Currently, this is done manually by human surveyors, a laborious, expensive and subjective process. We have developed a new computer habitat classification method ba... Read More about Automatic habitat classification using image analysis and random forest.

Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters
Presentation / Conference Contribution
Roadknight, C., Aickelin, U., Qiu, G., Scholefield, J., & Durrant, L. Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters. Presented at 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC

In this paper, we describe a dataset relating to cellular
and physical conditions of patients who are operated upon to
remove colorectal tumours. This data provides a unique insight into immunological status at the point of tumour removal,tumour cl... Read More about Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters.