Quality controlled segmentation to aid disease detection
Mehdi Moradi, Ken C. L. Wong, et al.
SPIE Medical Imaging 2020
The diagnostic workup for many diseases can be extraordinarily nuanced, and as such reference material text often contains extensive information regarding when it is appropriate to have a patient undergo a given procedure. In this work we employ a three task pipeline for the extraction of statements indicating the conditions under which a procedure should be performed, given a suspected diagnosis. First, we identify each instance in the text where a procedure is being recommended. Next we examine the context around these recommendations to extract conditional statements that dictate the conditions under which the recommendation holds. Finally, corefering recommendations across the document are linked to produce a full recommendation summary. Results indicate that each underlying task can be performed with above baseline performance, and the output can be used to produce concise recommendation summaries.
Mehdi Moradi, Ken C. L. Wong, et al.
SPIE Medical Imaging 2020
Anbang Xu, Zhe Liu, et al.
CHI 2017
Mehdi Moradi, Yufan Guo, et al.
ISBI 2017
Raziuddin Mahmood, Tanveer Syeda-Mahmood
ISBI 2015