The ISC is part of the Johns Hopkins Applied Physics Laboratory and will follow all current policies. Please visit the JHU/APL page for more information on the Lab's visitor guidance.
ISC Publications

Publisher

2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)

Authors (5)

Philippe M. Burlina
David E. Freund
Michael J. Pekala
Neil J. Joshi
Arnaldo Horta
ISC Publications

2017

A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection

Abstract

This work investigates a hybrid method based on random forests and deep image features to combine non-visual side channel information with image data for classification. We apply this to automated retinal image analysis (ARIA) and the detection of age-related macular degeneration (AMD). For evaluation, we use a dataset collected by the National Institute of Health with over 4000 study participants. The non-visual side channel data includes information related to demographics (e.g. ethnicity), lifestyle (e.g. sunlight exposure), and prior conditions (e.g. cataracts). Our study, which compares the performance of different feature combinations, offers preliminary results that constitute a baseline for future investigations on joint deep visual and side channel feature exploitation for AMD detection. This approach could potentially be used for other medical image analysis problems.

Citation

@inproceedingsHorta_2017 doi: 10.1109/icmla.2017.00-75 url: https://doi.org/10.1109/icmla.2017.00-75 year: 2017 month: dec publisher: IEEE author: Horta Arnaldo and Joshi Neil and Pekala Michael and Pacheco Katia D. and Kong Jun and Bressler Neil and Freund David E and Burlina Philippe title: A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection booktitle: 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)

Citation

@inproceedingsHorta_2017 doi: 10.1109/icmla.2017.00-75 url: https://doi.org/10.1109/icmla.2017.00-75 year: 2017 month: dec publisher: IEEE author: Horta Arnaldo and Joshi Neil and Pekala Michael and Pacheco Katia D. and Kong Jun and Bressler Neil and Freund David E and Burlina Philippe title: A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection booktitle: 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)