output
20132025
most citedDeep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

172 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020Show all

2 papers · 1 filter

cs.CV2020★ 172 cited

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

Sharib Ali, Mariia Dmitrieva, Noha Ghatwary +34

The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy…

eess.IV2020★ 15 cited

Endoscopy disease detection challenge 2020

Sharib Ali, Noha Ghatwary, Barbara Braden +7

Whilst many technologies are built around endoscopy, there is a need to have a comprehensive dataset collected from multiple centers to address the generalization issues with most…