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

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

12 October 2020
Sharib Ali
Mariia Dmitrieva
N. Ghatwary
Sophia Bano
Gorkem Polat
A. Temi̇zel
Adrian Krenzer
Amar Hekalo
Y. Guo
B. Matuszewski
Mourad Gridach
Irina Voiculescu
Vishnusai Yoganand
Arnav Chavan
A. Raj
N. T. Nguyen
Dat Q. Tran
L. D. Huynh
Nicolas Boutry
Shahadate Rezvy
Haijian Chen
Y. Choi
Anand Subramanian
Velmurugan Balasubramanian
Xiaohong W. Gao
Hongyu Hu
Yu-China Liao
Danail Stoyanov
C. Daul
S. Realdon
R. Cannizzaro
Dominique Lamarque
Terry Tran-Nguyen
A. Bailey
B. Braden
J. East
J. Rittscher
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Papers citing "Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy"

4 / 4 papers shown
Title
Multi-class motion-based semantic segmentation for ureteroscopy and
  laser lithotripsy
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy
Soumya Gupta
Sharib Ali
L. Goldsmith
B. Turney
J. Rittscher
48
3
0
02 Apr 2021
Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic
  Polyp Segmentation Using Convolution Neural Networks
Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks
P. Brandao
Odysseas Zisimopoulos
E. Mazomenos
G. Ciuti
Jorge Bernal
...
P. Dario
Anastasios Koulaouzidis
A. Arezzo
D. Hawkes
Danail Stoyanov
MedIm
19
64
0
15 Jan 2021
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
24
24
0
07 Mar 2020
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
446
15,637
0
02 Nov 2015
1