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Assessing generalisability of deep learning-based polyp detection and
  segmentation methods through a computer vision challenge

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

24 February 2022
Sharib Ali
N. Ghatwary
Debesh Jha
Ece Isik Polat
Gorkem Polat
Chen Yang
Wuyang Li
Adrian Galdran
M. A. G. Ballester
Vajira Thambawita
Steven Hicks
S. Poudel
Sang-Woong Lee
Ziyi Jin
Tianyuan Gan
Chen-Ping Yu
Jiangpeng Yan
Doyeob Yeo
Hyunseok Lee
Nikhil Kumar Tomar
Mahmood Haithmi
Amr Ahmed
Michael A. Riegler
C. Daul
P. Halvorsen
J. Rittscher
O. Salem
Dominique Lamarque
R. Cannizzaro
S. Realdon
Thomas de Lange
J. East
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Papers citing "Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge"

10 / 10 papers shown
Title
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends
Jiaxin Mei
Tao Zhou
Kaiwen Huang
Yizhe Zhang
Yi Zhou
Ye Wu
Huazhu Fu
142
11
0
20 Jan 2025
EndoBoost: a plug-and-play module for false positive suppression during
  computer-aided polyp detection in real-world colonoscopy (with dataset)
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)
Haoran Wang
Yan Zhu
W. Qin
Yizhe Zhang
Pinghong Zhou
Quanlin Li
Shuo Wang
Zhijian Song
17
2
0
23 Dec 2022
Biomedical image analysis competitions: The state of current
  participation practice
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann
Annika Reinke
V. Weru
M. Tizabi
Fabian Isensee
...
Baosheng Zou
Klaus Maier-Hein
Paul F. Jäger
A. Kopp-Schneider
Lena Maier-Hein
27
25
0
16 Dec 2022
Sources of performance variability in deep learning-based polyp
  detection
Sources of performance variability in deep learning-based polyp detection
T. Tran
T. Adler
Amine Yamlahi
E. Christodoulou
Patrick Godau
...
M. Tizabi
Peter Sauer
Tillmann Persicke
Jörg Gerhard Albert
Lena Maier-Hein
13
12
0
17 Nov 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
27
89
0
05 Aug 2022
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
198
869
0
16 Feb 2021
Robust Medical Instrument Segmentation Challenge 2019
Robust Medical Instrument Segmentation Challenge 2019
T. Ross
Annika Reinke
Peter M. Full
M. Wagner
H. Kenngott
...
Lei Zhu
Manuel Wiesenfarth
A. Kopp-Schneider
Beat P. Müller-Stich
Lena Maier-Hein
31
43
0
23 Mar 2020
Endoscopy disease detection challenge 2020
Endoscopy disease detection challenge 2020
Sharib Ali
N. Ghatwary
B. Braden
Dominique Lamarque
A. Bailey
S. Realdon
R. Cannizzaro
J. Rittscher
C. Daul
J. East
13
24
0
07 Mar 2020
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
190
3,480
0
20 Aug 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
420
15,438
0
02 Nov 2015
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