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Adrian Krenzer

Showing results (11-20 of 16) with videos related to

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Scandinavian Journal of Gastroenterology|June 14, 2022
A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systemsDaniel Fitting, Adrian Krenzer, Joel Troya, et al.
Frontiers in Oncology|March 9, 2026
Correction: A complete benchmark for polyp detection, segmentation and classification in colonoscopy imagesYael Tudela, Mireia Majó, Neil de la Fuente, et al.
Frontiers in Oncology|October 9, 2024
A complete benchmark for polyp detection, segmentation and classification in colonoscopy imagesYael Tudela, Mireia Majó, Neil de la Fuente, et al.
NPJ Digital Medicine|April 1, 2026
Artificial intelligence assisted colorectal lesion detection in private practices a randomized controlled studyThomas J Lux, Zita Saßmannshausen, Ioannis Kafetzis, et al.
Medical Image Analysis|September 20, 2024
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 ChallengesDebesh Jha, Vanshali Sharma, Debapriya Banik, 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.
Pageof 2

Showing results (11-20 of 16) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 16 results.
Scandinavian Journal of Gastroenterology|June 14, 2022
A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systemsDaniel Fitting, Adrian Krenzer, Joel Troya, et al.
Frontiers in Oncology|March 9, 2026
Correction: A complete benchmark for polyp detection, segmentation and classification in colonoscopy imagesYael Tudela, Mireia Majó, Neil de la Fuente, et al.
Frontiers in Oncology|October 9, 2024
A complete benchmark for polyp detection, segmentation and classification in colonoscopy imagesYael Tudela, Mireia Majó, Neil de la Fuente, et al.
NPJ Digital Medicine|April 1, 2026
Artificial intelligence assisted colorectal lesion detection in private practices a randomized controlled studyThomas J Lux, Zita Saßmannshausen, Ioannis Kafetzis, et al.
Medical Image Analysis|September 20, 2024
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 ChallengesDebesh Jha, Vanshali Sharma, Debapriya Banik, 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.
Pageof 2