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Christian Daul

Showing results (21-30 of 24) with videos related to

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Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 25, 2019
Clinical evaluation of a device providing simultaneous white-light and fluorescence video streams as well as panoramic imaging during fluorescence assisted-transurethral resection of bladder cancerMarine Amouroux, Julia Salleron, Cécile Huin-Schohn, et al.
Scientific Reports|February 19, 2020
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopySharib Ali, Felix Zhou, Barbara Braden, et al.
Scientific Reports|January 23, 2024
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challengeSharib Ali, Noha Ghatwary, Debesh Jha, et al.
Medical Image Analysis|March 3, 2021
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopySharib Ali, Mariia Dmitrieva, Noha Ghatwary, et al.
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Showing results (21-30 of 24) with videos related to

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Pageof 3
You have reached the last page of results.This site can display upto 24 results.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 25, 2019
Clinical evaluation of a device providing simultaneous white-light and fluorescence video streams as well as panoramic imaging during fluorescence assisted-transurethral resection of bladder cancerMarine Amouroux, Julia Salleron, Cécile Huin-Schohn, et al.
Scientific Reports|February 19, 2020
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopySharib Ali, Felix Zhou, Barbara Braden, et al.
Scientific Reports|January 23, 2024
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challengeSharib Ali, Noha Ghatwary, Debesh Jha, et al.
Medical Image Analysis|March 3, 2021
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopySharib Ali, Mariia Dmitrieva, Noha Ghatwary, et al.
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