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Transformed representations for convolutional neural networks in diabetic retinopathy screening

Publication ,  Conference
Lim, G; Lee, ML; Hsu, W; Wong, TY
Published in: AAAI Workshop - Technical Report
January 1, 2014

Convolutional neural networks (CNNs) are flexible, biologically-inspired variants of multi-layer perceptions that have proven themselves to be exceptionally suited to discriminative vision tasks. However, relatively little is known on whether they can be made both more efficient and more accurate, by introducing suitable transformations that exploit general knowledge of the target classes. We demonstrate this functionality through pre-segmentation of input images with a fast and robust but loose segmentation step, to obtain a set of candidate objects. These objects then undergo a spatial transformation into a reduced space, retaining but a compact high-level representation of their appearance. Additional attributes may be abstracted as raw features that are incorporated after the convolutional phase of the network. Finally, we compare its performance against existing approaches on the challenging problem of detecting lesions in retinal images.

Duke Scholars

Published In

AAAI Workshop - Technical Report

ISBN

9781577356691

Publication Date

January 1, 2014

Volume

WS-14-08

Start / End Page

21 / 25
 

Citation

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Lim, G., Lee, M. L., Hsu, W., & Wong, T. Y. (2014). Transformed representations for convolutional neural networks in diabetic retinopathy screening. In AAAI Workshop - Technical Report (Vol. WS-14-08, pp. 21–25).
Lim, G., M. L. Lee, W. Hsu, and T. Y. Wong. “Transformed representations for convolutional neural networks in diabetic retinopathy screening.” In AAAI Workshop - Technical Report, WS-14-08:21–25, 2014.
Lim G, Lee ML, Hsu W, Wong TY. Transformed representations for convolutional neural networks in diabetic retinopathy screening. In: AAAI Workshop - Technical Report. 2014. p. 21–5.
Lim, G., et al. “Transformed representations for convolutional neural networks in diabetic retinopathy screening.” AAAI Workshop - Technical Report, vol. WS-14-08, 2014, pp. 21–25.
Lim G, Lee ML, Hsu W, Wong TY. Transformed representations for convolutional neural networks in diabetic retinopathy screening. AAAI Workshop - Technical Report. 2014. p. 21–25.

Published In

AAAI Workshop - Technical Report

ISBN

9781577356691

Publication Date

January 1, 2014

Volume

WS-14-08

Start / End Page

21 / 25