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Finally, an ensemble logistic regression is employed to distinguish NC, which considers different optimization methods\u2019 characteristics. A dataset with 11,442 AS-OCT images is collected to evaluate the method. The results show that the proposed method achieves 86.96% accuracy and 88.70% macro-sensitivity, respectively. The performance comparison analysis also demonstrates that the global\u2013local feature extraction method improves about 2% accuracy than the single region-based feature extraction method.<\/jats:p>","DOI":"10.1007\/s40747-022-00869-5","type":"journal-article","created":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T11:03:52Z","timestamp":1663326232000},"page":"1479-1493","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Nuclear cataract classification in anterior segment OCT based on clinical global\u2013local features"],"prefix":"10.1007","volume":"9","author":[{"given":"Xiaoqing","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Zunjie","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Risa","family":"Higashita","sequence":"additional","affiliation":[]},{"given":"Wan","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Jiang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,16]]},"reference":[{"key":"869_CR1","first-page":"1","volume":"2016","author":"HS Beom","year":"2016","unstructured":"Beom HS, Yu-Chi L, Mohamed NK, Mehta JS (2016) Applications of anterior segment optical coherence tomography in cornea and ocular surface diseases. 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