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Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy
  Using Deep Learning
v1v2 (latest)

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

15 November 2020
Debesh Jha
Sharib Ali
Nikhil Kumar Tomar
Haavard D. Johansen
Dag Johansen
J. Rittscher
Michael A. Riegler
Pål Halvorsen
ArXiv (abs)PDFHTML

Papers citing "Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning"

16 / 16 papers shown
Gastrointestinal Mucosal Problems Classification with Deep Learning
Gastrointestinal Mucosal Problems Classification with Deep Learning
Mohammad Goharian
V. Goharian
Hamidreza Bolhasani
92
0
0
30 Jul 2023
Deep learning-based image exposure enhancement as a pre-processing for
  an accurate 3D colon surface reconstruction
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
Dominique Lamarque
Christian Daul
MedIm3DV
202
0
0
06 Apr 2023
Applied Deep Learning to Identify and Localize Polyps from Endoscopic
  Images
Applied Deep Learning to Identify and Localize Polyps from Endoscopic Images
C. Raju
S. Datar
Kush J. Hari
K. Vijay
Suma Ningappa
107
1
0
22 Jan 2023
Performance Comparison of Deep Learning Architectures for Artifact
  Removal in Gastrointestinal Endoscopic Imaging
Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging
Takashi Watanabe
Kensuke Tanioka
S. Hiwa
Tomoyuki Hiroyasu
3DPCMedIm
103
2
0
01 Jan 2022
Deep ensembles in bioimage segmentation
Deep ensembles in bioimage segmentation
L. Nanni
Daniela Cuza
A. Lumini
Andrea Loreggia
S. Brahnam
SSeg
218
10
0
24 Dec 2021
PAANet: Progressive Alternating Attention for Automatic Medical Image
  Segmentation
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
Abhishek Srivastava
S. Chanda
Debesh Jha
Michael A. Riegler
Pål Halvorsen
Dag Johansen
Umapada Pal
SSeg
151
8
0
20 Nov 2021
GMSRF-Net: An improved generalizability with global multi-scale residual
  fusion network for polyp segmentation
GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentationInternational Conference on Pattern Recognition (ICPR), 2021
Abhishek Srivastava
S. Chanda
Debesh Jha
Umapada Pal
Sharib Ali
MedIm
260
31
0
20 Nov 2021
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
B. Dong
Wenhai Wang
Deng-Ping Fan
Jinpeng Li
Huazhu Fu
Ling Shao
ViTMedIm
833
501
0
16 Aug 2021
Exploring Deep Learning Methods for Real-Time Surgical Instrument
  Segmentation in Laparoscopy
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
Debesh Jha
Sharib Ali
Nikhil Kumar Tomar
Michael A. Riegler
Dag Johansen
Haavard D. Johansen
Pål Halvorsen
201
14
0
05 Jul 2021
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation
  during colonoscopy
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
300
153
0
16 May 2021
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image
  Segmentation
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationIEEE journal of biomedical and health informatics (JBHI), 2021
Abhishek Srivastava
Debesh Jha
S. Chanda
Umapada Pal
Haavard D. Johansen
Dag Johansen
Michael A. Riegler
Sharib Ali
Pål Halvorsen
269
271
0
16 May 2021
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
285
10
0
02 Apr 2021
Deep ensembles based on Stochastic Activation Selection for Polyp
  Segmentation
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation
A. Lumini
L. Nanni
Gianluca Maguolo
SSeg
317
3
0
02 Apr 2021
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network
  that Achieves over 0.9 Mean Dice and 86 FPS
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
Chien-Hsiang Huang
Hung-Yu Wu
Y. Lin
326
255
0
18 Jan 2021
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
Nikhil Kumar Tomar
Debesh Jha
Sharib Ali
Haavard D. Johansen
Dag Johansen
Michael A. Riegler
Pål Halvorsen
194
142
0
30 Dec 2020
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
Medico Multimedia Task at MediaEval 2020: Automatic Polyp SegmentationMediaEval Benchmarking Initiative for Multimedia Evaluation (MediaEval), 2020
Debesh Jha
Steven A. Hicks
Krister Emanuelsen
Haavard D. Johansen
Dag Johansen
Thomas de Lange
Michael A. Riegler
Pål Halvorsen
175
37
0
30 Dec 2020
1
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