Literature DB >> 21096260

Automatic detection of posterior subcapsular cataract opacity for cataract screening.

Huiqi Li1, Joo Hwee Lim, Jiang Liu, Damon Wing Kee Wong, Yongfeng Foo, Ying Sun, Tien Yin Wong.   

Abstract

Cataract is the leading cause of blindness and posterior subcapsular cataract (PSC) leads to significant visual impairment. An automatic approach for detecting PSC opacity in retro-illumination images is investigated. The features employed include intensity, edge, size and spatial location. The system was tested using 441 images. The automatic detection was compared with the human expert. The sensitivity and specificity are 82.6% and 80% respectively. The preliminary research indicates it is feasible to apply automatic detection in the clinical screening of PSC in the future.

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Year:  2010        PMID: 21096260     DOI: 10.1109/IEMBS.2010.5626467

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  5 in total

1.  Lens opacity detection for serious posterior subcapsular cataract.

Authors:  Wanjun Zhang; Huiqi Li
Journal:  Med Biol Eng Comput       Date:  2016-08-04       Impact factor: 2.602

2.  An Approach to Evaluate Blurriness in Retinal Images with Vitreous Opacity for Cataract Diagnosis.

Authors:  Li Xiong; Huiqi Li; Liang Xu
Journal:  J Healthc Eng       Date:  2017-04-26       Impact factor: 2.682

3.  Deep Learning-Based Cataract Detection and Grading from Slit-Lamp and Retro-Illumination Photographs: Model Development and Validation Study.

Authors:  Ki Young Son; Jongwoo Ko; Eunseok Kim; Si Young Lee; Min-Ji Kim; Jisang Han; Eunhae Shin; Tae-Young Chung; Dong Hui Lim
Journal:  Ophthalmol Sci       Date:  2022-03-18

Review 4.  A survey on computer aided diagnosis for ocular diseases.

Authors:  Zhuo Zhang; Ruchir Srivastava; Huiying Liu; Xiangyu Chen; Lixin Duan; Damon Wing Kee Wong; Chee Keong Kwoh; Tien Yin Wong; Jiang Liu
Journal:  BMC Med Inform Decis Mak       Date:  2014-08-31       Impact factor: 2.796

5.  Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural network.

Authors:  Jiewei Jiang; Xiyang Liu; Kai Zhang; Erping Long; Liming Wang; Wangting Li; Lin Liu; Shuai Wang; Mingmin Zhu; Jiangtao Cui; Zhenzhen Liu; Zhuoling Lin; Xiaoyan Li; Jingjing Chen; Qianzhong Cao; Jing Li; Xiaohang Wu; Dongni Wang; Jinghui Wang; Haotian Lin
Journal:  Biomed Eng Online       Date:  2017-11-21       Impact factor: 2.819

  5 in total

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