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Title:Analyzing Figures of Brain Images from Alzheimer's Disease Papers
Author(s):Tsutsui, Satoshi; Meng, Guilin; Yao, Xiaohui; Crandall, David; Ding, Ying
Subject(s):Alzheimer's Disease
Figure Mining
Viziometrics
Abstract:Which papers focusing on Alzheimer's disease (AD) include MRI scans of human brains? These images play an important role in clinical detection of AD, but finding them currently requires manual inspection of papers after a keyword search. In order to provide AD researchers with a more efficient way of finding relevant papers, here we focus on three preliminary problems involving automatically identifying figures containing brain images, and solve them as automatic image classification tasks. This is a first step towards efficiently allowing AD researchers to retrieve papers containing a particular type of brain image (e.g. of a patient). We report preliminary results from a larger project, in collaboration with AD researchers.
Issue Date:2017
Publisher:iSchools
Citation Info:Tsutsui, S., Meng, G., Yao, X., Crandall, D. & Ding, Y. (2017). Analyzing Figures of Brain Images from Alzheimer's Disease Papers. In iConference 2017 Proceedings, Vol. 2 (pp. 147-151). https://doi.org/10.9776/17357
Series/Report:iConference 2017 Proceedings Vol. 2
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/98879
DOI:https://doi.org/10.9776/17357
Rights Information:Copyright 2017 is held by the authors.
Date Available in IDEALS:2017-12-05


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