ACM-Assessor: An Artificial Intelligence System for Assessing Angle Closure Mechanisms in Ultrasound...
ACM-Assessor: An Artificial Intelligence System for Assessing Angle Closure Mechanisms in Ultrasound Biomicroscopy
About this item
Full title
Author / Creator
Cong, Yuyu , Jiang, Weiyan , Dong, Zehua , Zhu, Jian , Yang, Yuanhao , Wang, Yujin , Deng, Qian , Yan, Yulin , Mao, Jiewen , Shi, Xiaoshuo , Pan, Jiali , Yang, Zixian , Wang, Yingli , Fang, Juntao , Zheng, Biqing and Yang, Yanning
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Primary angle-closure glaucoma (PACG), characterized by angle closure (AC) with insidious and irreversible progression, requires precise assessment of AC mechanisms for accurate diagnosis and treatment. This study developed an artificial intelligence system, ACM-Assessor, to evaluate AC mechanisms in ultrasound biomicroscopy (UBM) images. A dataset...
Alternative Titles
Full title
ACM-Assessor: An Artificial Intelligence System for Assessing Angle Closure Mechanisms in Ultrasound Biomicroscopy
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b9dd6bbdba1c428eaab0cebf63175a02
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b9dd6bbdba1c428eaab0cebf63175a02
Other Identifiers
ISSN
2306-5354
E-ISSN
2306-5354
DOI
10.3390/bioengineering12040415