Anomaly detection in retinal images using multi-scale deep feature sparse coding

Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah, Dwarikanath Mahapatra, Zongyuan Ge

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)


Convolutional Neural Network models have successfully detected retinal illness from optical coherence tomography (OCT) and fundus images. These CNN models frequently rely on vast amounts of labeled data for training, difficult to obtain, especially for rare diseases. Furthermore, a deep learning system trained on a data set with only one or a few diseases cannot detect other diseases, limiting the system's practical use in disease identification. We have introduced an unsupervised approach for detecting anomalies in retinal images to overcome this issue. We have proposed a simple, memory efficient, easy to train method which followed a multi-step training technique that incorporated autoencoder training and Multi-Scale Deep Feature Sparse Coding (MDFSC), an extended version of normal sparse coding, to accommodate diverse types of retinal datasets. We achieve relative AUC score improvement of 7.8%, 6.7% and 12.1% over state-of-the-art SPADE on Eye-Q, IDRiD and OCTID datasets respectively.

Original languageEnglish
Title of host publicationISBI 2022 - Symposium Proceedings
EditorsSuyash P. Awate, Tanveer F. Syeda-Mahmood
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781665429238
ISBN (Print)9781665429245
Publication statusPublished - 2022
EventIEEE International Symposium on Biomedical Imaging (ISBI) 2022 - Kolkata, India
Duration: 28 Mar 202231 Mar 2022
Conference number: 19th (Proceedings)

Publication series

NameProceedings - International Symposium on Biomedical Imaging
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452


ConferenceIEEE International Symposium on Biomedical Imaging (ISBI) 2022
Abbreviated titleISBI 2022
Internet address


  • Anomaly detection
  • Autoencoder
  • Deep Multi-scale Feature
  • Sparse Coding
  • Transfer Learning

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