Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding.
Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding.
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DOI：
10.1016/j.media.2011.06.005
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发表时间：
2011-10
影响因子：
10.9
通讯作者：
Rehg, James M.
中科院分区：
文献类型：
--
作者：
Liu, Yu-Ying;Chen, Mei;Ishikawa, Hiroshi;Wollstein, Gadi;Schuman, Joel S.;Rehg, James M.
关键词：
We address a novel problem domain in the analysis of optical coherence tomography (OCT) images: the diagnosis of multiple macular pathologies in retinal OCT images. The goal is to identify the presence of normal macula and each of three types of macular pathologies, namely, macular edema, macular hole, and age-related macular degeneration, in the OCT slice centered at the fovea. We use a machine learning approach based on global image descriptors formed from a multi-scale spatial pyramid. Our local features are dimension-reduced Local Binary Pattern histograms, which are capable of encoding texture and shape information in retinal OCT images and their edge maps, respectively. Our representation operates at multiple spatial scales and granularities, leading to robust performance. We use 2-class Support Vector Machine classifiers to identify the presence of normal macula and each of the three pathologies. To further discriminate sub-types within a pathology, we also build a classifier to differentiate full-thickness holes from pseudo-holes within the macular hole category. We conduct extensive experiments on a large dataset of 326 OCT scans from 136 subjects. The results show that the proposed method is very effective (all AUC > 0.93).
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DOI：
10.1007/978-3-642-04268-3_13
发表时间：
2009
期刊：
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
影响因子：
--
作者：
Ricco, Susanna;Chen, Mei;Ishikawa, Hiroshi;Wollstein, Gadi;Schuman, Joel
通讯作者：
Schuman, Joel
影响因子：
--
作者：
Kassoff, A;Kassoff, J;Chew, EY
通讯作者：
Chew, EY
影响因子：
4.4
作者：
Ishikawa, H;Stein, DM;Schuman, JS
通讯作者：
Schuman, JS
影响因子：
10.6
作者：
Quellec G;Lee K;Dolejsi M;Garvin MK;Abràmoff MD;Sonka M
通讯作者：
Sonka M
影响因子：
4.4
作者：
Ishikawa H;Kim J;Friberg TR;Wollstein G;Kagemann L;Gabriele ML;Townsend KA;Sung KR;Duker JS;Fujimoto JG;Schuman JS
通讯作者：
Schuman JS