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Proceedings of Spie--The International Society for Optical Engineering
|
May 9, 2022
Analysis of digital noise and reduction methods on classifiers used in automated visual evaluation in cervical cancer screening
Zhiyun Xue, Sandeep Angara, David Levitz, et al.
Diagnostics (Basel, Switzerland)
|
May 20, 2016
Real-Time Monitoring and Evaluation of a Visual-Based Cervical Cancer Screening Program Using a Decision Support Job Aid
Curtis W Peterson, Donny Rose, Jonah Mink, et al.
Journal of Biomedical Optics
|
December 7, 2018
Portable, low-cost multispectral imaging system: design, development, validation, and utilization
Frank J Bolton, Amir S Bernat, Kfir Bar-Am, et al.
Biomaterials
|
August 17, 2010
Non-destructive label-free monitoring of collagen gel remodeling using optical coherence tomography
David Levitz, Monica T Hinds, Ardi Ardeshiri, et al.
Journal of Biomedical Optics
|
May 13, 2010
Quantitative characterization of developing collagen gels using optical coherence tomography
David Levitz, Monica T Hinds, Niloy Choudhury, et al.
Optics Express
|
May 28, 2009
Determination of optical scattering properties of highly-scattering media in optical coherence tomography images
David Levitz, Lars Thrane, Michael Frosz, et al.
Journal of Biomedical Optics
|
May 3, 2011
Dermal reflectivity determined by optical coherence tomography is an indicator of epidermal hyperplasia and dermal edema within inflamed skin
Kevin G Phillips, Yun Wang, David Levitz, et al.
Eye & Contact Lens
|
December 6, 2024
A Review of Contact Lens Regulations in the Asia Pacific Region
Jie Rong Jerome Lee, Ting Hui Yee, David Levitz, et al.
Acta Haematologica
|
November 29, 2022
A Co-Management Model for Myeloid Malignancies That Evolved during the COVID-19 Pandemic
Niyati Goradia, Aditi Shastri, Amit Verma, et al.
International Journal of Cancer
|
November 20, 2021
The development of "automated visual evaluation" for cervical cancer screening: The promise and challenges in adapting deep-learning for clinical testing: Interdisciplinary principles of automated visual evaluation in cervical screening
Kanan T Desai, Brian Befano, Zhiyun Xue, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
Proceedings of Spie--The International Society for Optical Engineering
|
May 9, 2022
Analysis of digital noise and reduction methods on classifiers used in automated visual evaluation in cervical cancer screening
Zhiyun Xue, Sandeep Angara, David Levitz, et al.
Diagnostics (Basel, Switzerland)
|
May 20, 2016
Real-Time Monitoring and Evaluation of a Visual-Based Cervical Cancer Screening Program Using a Decision Support Job Aid
Curtis W Peterson, Donny Rose, Jonah Mink, et al.
Journal of Biomedical Optics
|
December 7, 2018
Portable, low-cost multispectral imaging system: design, development, validation, and utilization
Frank J Bolton, Amir S Bernat, Kfir Bar-Am, et al.
Biomaterials
|
August 17, 2010
Non-destructive label-free monitoring of collagen gel remodeling using optical coherence tomography
David Levitz, Monica T Hinds, Ardi Ardeshiri, et al.
Journal of Biomedical Optics
|
May 13, 2010
Quantitative characterization of developing collagen gels using optical coherence tomography
David Levitz, Monica T Hinds, Niloy Choudhury, et al.
Optics Express
|
May 28, 2009
Determination of optical scattering properties of highly-scattering media in optical coherence tomography images
David Levitz, Lars Thrane, Michael Frosz, et al.
Journal of Biomedical Optics
|
May 3, 2011
Dermal reflectivity determined by optical coherence tomography is an indicator of epidermal hyperplasia and dermal edema within inflamed skin
Kevin G Phillips, Yun Wang, David Levitz, et al.
Eye & Contact Lens
|
December 6, 2024
A Review of Contact Lens Regulations in the Asia Pacific Region
Jie Rong Jerome Lee, Ting Hui Yee, David Levitz, et al.
Acta Haematologica
|
November 29, 2022
A Co-Management Model for Myeloid Malignancies That Evolved during the COVID-19 Pandemic
Niyati Goradia, Aditi Shastri, Amit Verma, et al.
International Journal of Cancer
|
November 20, 2021
The development of "automated visual evaluation" for cervical cancer screening: The promise and challenges in adapting deep-learning for clinical testing: Interdisciplinary principles of automated visual evaluation in cervical screening
Kanan T Desai, Brian Befano, Zhiyun Xue, et al.
Page
of 2