Prof. Beth Ann M. M. Benetz Profile

Prof. Beth Ann M. M. Benetz

at Case Western Reserve Univ

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 3 April 2024 Presentation

Semi-automatic analysis of donor cornea EC images using SSL and image editing software

Ved Shivade, Nathan Romig, John McCormick, Naomi Joseph, Jonathan Lass, Beth Benetz, David Wilson

Proceedings Volume 12930, 129301A (2024) https://doi.org/10.1117/12.3009714

KEYWORDS: Image segmentation, Machine learning, Image analysis, Eye, Cornea, Eye models, Visual process modeling, Transformers, Image processing, Education and training

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SPIE Journal Paper | 5 January 2024

Deep learning segmentation of endothelial cell images using an active learning paradigm with guided label corrections

Naomi Joseph, Ian Marshall, Elizabeth Fitzpatrick, Harry J. Menegay, Jonathan H. Lass, Beth Ann M. Benetz, David L. Wilson

JMI, Vol. 11, Issue 01, 014006, (January 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.1.014006

KEYWORDS: Image segmentation, Education and training, Deep learning, Active learning, Performance modeling, Data modeling, Image analysis, Image quality, Image processing, Cornea

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Proceedings Article | 18 February 2021 Poster + Presentation + Paper

Early detection of at-risk keratoplasties and prediction of future corneal graft rejection from pre-diagnosis endothelial cell images

Naomi Joseph, Beth Ann Benetz, Harry Menegay, Silke Oellerich, Lamis Baydoun, Gerrit Melles, Jonathan Lass, David Wilson

Proceedings Volume 11597, 115972C (2021) https://doi.org/10.1117/12.2582171

KEYWORDS: Image segmentation, Feature extraction, Cornea, Pathophysiology, Medicine, Machine learning, Lamps, Feature selection

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SPIE Journal Paper | 14 February 2020

Quantitative and qualitative evaluation of deep learning automatic segmentations of corneal endothelial cell images of reduced image quality obtained following cornea transplant

Naomi Joseph, Chaitanya Kolluru, Beth A. Benetz, Harry Menegay, Jonathan Lass, David Wilson

JMI, Vol. 7, Issue 01, 014503, (February 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.1.014503

KEYWORDS: Image segmentation, Cornea, Image quality, Image processing, Visualization, Visual analytics, Image analysis, Image processing algorithms and systems, Surgery, Neural networks

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Proceedings Article | 13 March 2019 Paper

Machine learning for segmenting cells in corneal endothelium images

Chaitanya Kolluru, Beth Benetz, Naomi Joseph, Harry Menegay, Jonathan Lass, David Wilson

Proceedings Volume 10950, 109504G (2019) https://doi.org/10.1117/12.2513580

KEYWORDS: Image segmentation, Cornea, Image analysis, Image processing algorithms and systems, Neural networks, Machine learning, Image processing

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