1. many types 2. first-timer 3. label effort Construct cell Learn fromsize distribution previous types ?
Training Image Cell Non- cell Training Samples User Size Distribution GATLABlabel effort random interactive Previous types Select most important samples for user to label.
Training Image Cell Non- cell Training SamplesUser Size Distribution Detection Confidence GATLAB Previous types
White Blood Cells HT29 Cancer Natural Killer T Drosophila Red Blood Cells
AdaBoost uses Adaptive Boosting TaskTrAdaBoost learns from previous cell typesGlobalTrAdaBoost obtains cell size distribution GATLAB selects most important samplesFreund and Schapire (2000)Yao and Doretto (2010)Nguyen et al. (2011)
Training samples were selected from 1 to 10.Execute training and testing 30 times.
Training samples were selected up to 100 samples.
Natural Killer T-cells *presented in the 11th GRF (2011)
An accurate cell detection algorithm.Require minimal training effort.Help biologists to study various cell types.
N. Nguyen, E. Norris, M. Clemens, M. Shin. “Rapidly Adaptive Cell Detection.” Machine Vision and Applications (MVA), Special Issue: Machine Learning in Medical Imaging [in review].N. Nguyen and M. Shin. “Active Transfer Boosting to Reduce Training Effort in Multi-class Data classification." IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 18-20, 2012 [in review].N. Nguyen, E. Norris, M. Clemens, M. Shin. “Rapidly Adaptive Cell Detection using Transfer Learning with a Global Parameter.” The Second International Workshop on Machine Learning in Medical Imaging (MLMI), Toronto, Canada. September 18-22, 2011.N. Nguyen, S. Keller, E. Norris, T. Huynh, M. Clemens, M. Shin. “Tracking Colliding Cells in vivo Microscopy Video.” IEEE Transactions on Biomedical Engineering (TBE), 58(8):2391-2400, August 2011.N. Nguyen, S. Keller, T. Huynh, M. Shin. “Tracking Colliding Cells”. IEEE Workshop on Applications of Computer Vision (WACV), Snowbird, UT December 07-09, 2009.
Min Shin, PhD Mark Clemens, PhD Eric Norris, MS Toan Huynh, MD Steve Keller, MS