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

Minhaz, Ahmed Tahseen; Sevgi, Duriye Damla; Kwak, Sunwoo; Kim, Alvin; Wu, Hao; Helms, Richard W; Bayat, Mahdi; Wilson, David L; Orge, Faruk H

Minhaz, Ahmed Tahseen; Sevgi, Duriye Damla; Kwak, Sunwoo; Kim, Alvin; Wu, Hao; Helms, Richard W; Bayat, Mahdi; Wilson, David L; Orge, Faruk H.

Afiliação

Minhaz AT; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Sevgi DD; Indiana University Health, Indianapolis, IN, USA.
Kwak S; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA USA.
Kim A; Department of Mechanical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Wu H; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Helms RW; UH CMC Division of Pediatric Ophthalmology and Adult Strabismus, Rainbow Babies and Children's Hospital, Cleveland, OH, USA.
Bayat M; Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA.
Wilson DL; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Orge FH; Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.

Transl Vis Sci Technol ; 11(10): 3, 2022 10 03.

Article em En | MEDLINE | ID: mdl-36180029

Assuntos

Aprendizado Profundo; Microscopia Acústica; Cadáver; Corpo Ciliar/diagnóstico por imagem; Humanos; Imageamento Tridimensional/métodos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microscopia Acústica / Aprendizado Profundo Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Transl Vis Sci Technol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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