Translator Disclaimer
1 September 2017 MIRank-KNN: multiple-instance retrieval of clinically relevant diabetic retinopathy images
Author Affiliations +
Abstract
Diabetic retinopathy (DR) is a consequence of diabetes and is the leading cause of blindness among 18- to 65-year-old adults. Regular screening is critical to early detection and treatment of DR. Computer-aided diagnosis has the potential of improving the practice in DR screening or diagnosis. An automated and unsupervised approach for retrieving clinically relevant images from a set of previously diagnosed fundus camera images for improving the efficiency of screening and diagnosis of DR is presented. Considering that DR lesions are often localized, we propose a multiclass multiple-instance framework for the retrieval task. Considering the special visual properties of DR images, we develop a feature space of a modified color correlogram appended with statistics of steerable Gaussian filter responses selected by fast radial symmetric transform points. Experiments with real DR images collected from five different datasets demonstrate that the proposed approach is able to outperform existing methods.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2017/$25.00 © 2017 SPIE
Parag S. Chandakkar, Ragav Venkatesan, and Baoxin Li "MIRank-KNN: multiple-instance retrieval of clinically relevant diabetic retinopathy images," Journal of Medical Imaging 4(3), 034003 (1 September 2017). https://doi.org/10.1117/1.JMI.4.3.034003
Received: 13 April 2017; Accepted: 11 July 2017; Published: 1 September 2017
JOURNAL ARTICLE
17 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Tools and techniques for color image retrieval
Proceedings of SPIE (March 13 1996)
Image retrieval based on JPEG compressed data
Proceedings of SPIE (November 01 1996)
Image retrieval with multiresolution color space quantization
Proceedings of SPIE (September 30 1996)
Object-oriented image processing in multimedia systems
Proceedings of SPIE (February 16 1996)

Back to Top