Conference proceeding
Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images
Proceedings of SPIE, Vol.7260(1), pp.72601I-72601I-8
Medical Imaging 2009: Computer-Aided Diagnosis
02/26/2009
DOI: 10.1117/12.813679
Abstract
Computer-aided Diagnosis (CAD) systems for the automatic identification of abnormalities in retinal images are gaining importance in diabetic retinopathy screening programs. A huge amount of retinal images are collected during these programs and they provide a starting point for the design of machine learning algorithms. However, manual annotations of retinal images are scarce and expensive to obtain. This paper proposes a dynamic CAD system based on active learning for the automatic identification of hard exudates, cotton wool spots and drusen in retinal images. An uncertainty sampling method is applied to select samples that need to be labeled by an expert from an unlabeled set of 4000 retinal images. It reduces the number of training samples needed to obtain an optimum accuracy by dynamically selecting the most informative samples. Results show that the proposed method increases the classification accuracy compared to alternative techniques, achieving an area under the ROC curve of 0.87, 0.82 and 0.78 for the detection of hard exudates, cotton wool spots and drusen, respectively.
Details
- Title: Subtitle
- Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images
- Creators
- Clara I Sánchez - Univ. Medisch Ctr. Utrecht (Netherlands)Meindert Niemeijer - The Univ. of Iowa (USA)Thessa Kockelkorn - Univ. Medisch Ctr. Utrecht (Netherlands)Michael D Abràmoff - The Univ. of Iowa (USA) and Veterans Affairs Medical Ctr. (USA)Bram van Ginneken - Univ. Medisch Ctr. Utrecht (Netherlands)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.7260(1), pp.72601I-72601I-8
- Conference
- Medical Imaging 2009: Computer-Aided Diagnosis
- DOI
- 10.1117/12.813679
- ISSN
- 0277-786X
- Language
- English
- Date published
- 02/26/2009
- Academic Unit
- Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Ophthalmology and Visual Sciences; Fraternal Order of Eagles Diabetes Research Center
- Record Identifier
- 9984060635002771
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