Deep Learning Segmentation, Visualization, and Automated 3D Assessment of Ciliary Body in 3D Ultrasound Biomicroscopy Images-Reference-Cited by-同舟云学术

Deep Learning Segmentation, Visualization, and Automated 3D Assessment of Ciliary Body in 3D Ultrasound Biomicroscopy Images

Author:

Minhaz Ahmed Tahseen¹,Sevgi Duriye Damla²,Kwak Sunwoo³,Kim Alvin⁴,Wu Hao¹,Helms Richard W.⁵,Bayat Mahdi⁶,Wilson David L.¹⁷,Orge Faruk H.⁵

Affiliation:

1. Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA

2. Indiana University Health, Indianapolis, IN, USA

3. Department of Bioengineering, University of Pennsylvania, Philadelphia, PA USA

4. Department of Mechanical Engineering, Case Western Reserve University, Cleveland, OH, USA

5. UH CMC Division of Pediatric Ophthalmology and Adult Strabismus, Rainbow Babies and Children's Hospital, Cleveland, OH, USA

6. Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA

7. Department of Radiology, Case Western Reserve University, Cleveland, OH, USA

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference32 articles.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Assessment of ocular injuries using high-resolution 3D ultrasound;Medical Imaging 2024: Ultrasonic Imaging and Tomography;2024-04-01