172 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR4 papers
- CRANFR4 papers
- Université de LorraineFR4 papers
- Centro di Riferimento OncologicoIT3 papers
- University of OxfordGB3 papers
- Arab Academy for Science, Technology, and Maritime TransportEG2 papers
- Istituto Oncologico VenetoIT2 papers
- John Radcliffe HospitalGB2 papers
- Université de Versailles Saint-Quentin-en-YvelinesFR2 papers
- Alexandria UniversityEG1 paper
- Assistance Publique – Hôpitaux de ParisFR1 paper
- CHU Ambroise ParéBE1 paper
4 papers
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction
Ricardo Espinosa, Carlos Axel Garcia-Vega, Gilberto Ochoa-Ruiz +2
This contribution shows how an appropriate image pre-processing can improve a deep-learning based 3D reconstruction of colon parts. The assumption is that, rather than global image…
A multi-centre polyp detection and segmentation dataset for generalisability assessment
Sharib Ali, Debesh Jha, Noha Ghatwary +12
Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp's number, size and surface structure are linked to the ri…
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…
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…