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C2A: Crowd consensus analytics for virtual colonoscopy

Ji Hwan Park, Saad Nadeem, Seyedkoosha Mirhosseini, Arie Kaufman
2016 2016 IEEE Conference on Visual Analytics Science and Technology (VAST)  
In this paper, we focus on a virtual colonoscopy (VC) application with the clinical technicians as our target users, and the radiologists acting as consultants and classifying segments as benign or malignant  ...  In particular, C^2A is used to analyze and explore crowd responses on video segments, created from fly-throughs in the virtual colon.  ...  Kevin Baker and Matthew Barish, Radiology Department, Stony Brook University Hospital, for their critical feedback and guidance.  ... 
doi:10.1109/vast.2016.7883508 dblp:conf/ieeevast/ParkNMK16 fatcat:qbthivjum5ettpabqzhmwlqzvq