@conference {47229, title = {Interactive exemplar-based segmentation toolkit for biomedical image analysis.}, booktitle = {International Symposium on Biomedical Imaging}, year = {2015}, month = {2015 Apr}, abstract = {

In the field of biomedical imaging analysis on single-cell level, reliable and fast segmentation of the cell nuclei from the background on three-dimensional images is highly needed for the further analysis. In this work we propose an interactive cell segmentation toolkit that first establishes a set of exemplar regions from user input through an easy and intuitive interface in both 2D and 3D in real-time, then
extracts the shape and intensity features from those exemplars. Based on a local contrast-constrained region growing scheme, each connected component in the whole image would be filtered by the features from exemplars, forming an {\textquotedblleft}exemplar-matching{\textquotedblright} group which passed the filtering and would be part of the final segmentation result, and a {\textquotedblleft}non-exemplar-matching{\textquotedblright} group in which components
would be further segmented by the gradient vector field based algorithm. The results of the filtering process are visualized back to the user in near real-time, thus enhancing the experience in exemplar selecting and parameter tuning. The toolkit is distributed as a plugin within the open source Vaa3D system (http://vaa3d.org).

}, author = {Li, Xiang and Zhou, Zhi and Keller, Philipp J and Zeng, Hongkui and Liu, Tianming and Peng, Hanchuan} } @article {2148, title = {Imaging informatics for personalised medicine: applications and challenges.}, journal = {International Journal of Functional Informatics and Personalised Medicine}, volume = {2}, year = {2009}, month = {2009}, pages = {125-35}, abstract = {

Imaging informatics has emerged as a major research theme in biomedicine in the last few decades. Currently, personalised, predictive and preventive patient care is believed to be one of the top priorities in biomedical research and practice. Imaging informatics plays a major role in biomedicine studies. This paper reviews main applications and challenges of imaging informatics in biomedicine.

}, issn = {1756-2112}, doi = {10.1007/s12021-010-9090-x}, author = {Liu, Tianming and Peng, Hanchuan and Zhou, Xiaobo} }