ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.11947
  4. Cited By
Colorectal Polyp Segmentation by U-Net with Dilation Convolution

Colorectal Polyp Segmentation by U-Net with Dilation Convolution

26 December 2019
Xinzi Sun
Pengfei Zhang
Dechun Wang
Yu Cao
Benyuan Liu
    MedIm
ArXivPDFHTML

Papers citing "Colorectal Polyp Segmentation by U-Net with Dilation Convolution"

10 / 10 papers shown
Title
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive
  Survey
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey
Zhenyu Wu
Fengmao Lv
Chenglizhao Chen
Aimin Hao
Shuo Li
ELM
36
10
0
22 Jan 2024
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic
  Data
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
Enric Moreu
Eric Arazo
Kevin McGuinness
Noel E. O'Connor
43
1
0
22 Jul 2023
Rethinking the transfer learning for FCN based polyp segmentation in
  colonoscopy
Rethinking the transfer learning for FCN based polyp segmentation in colonoscopy
Yan-mao Wen
Lei Zhang
Xiangli Meng
Xujiong Ye
14
1
0
04 Nov 2022
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
Sharib Ali
N. Ghatwary
Debesh Jha
Ece Isik Polat
Gorkem Polat
...
Dominique Lamarque
R. Cannizzaro
S. Realdon
Thomas de Lange
J. East
37
64
0
24 Feb 2022
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
ViT
MedIm
31
316
0
16 Aug 2021
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++,
  Conditional Random Field and Test-Time Augmentation
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
Debesh Jha
P. Smedsrud
Dag Johansen
Thomas de Lange
H. Johansen
P. Halvorsen
Michael A. Riegler
21
222
0
26 Jul 2021
Ensemble Learning based on Classifier Prediction Confidence and
  Comprehensive Learning Particle Swarm Optimisation for polyp localisation
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation
Truong Dang
Thanh Nguyen
John Mccall
Alan Wee-Chung Liew
19
0
0
10 Apr 2021
FANet: A Feedback Attention Network for Improved Biomedical Image
  Segmentation
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Nikhil Kumar Tomar
Debesh Jha
Michael A. Riegler
Haavard D. Johansen
Dag Johansen
J. Rittscher
P. Halvorsen
Sharib Ali
MedIm
20
148
0
31 Mar 2021
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment
  Study
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study
Xinzi Sun
Dechun Wang
Chenxi Zhang
Pengfei Zhang
Zinan Xiong
Yu Cao
Benyuan Liu
Xiaowei Liu
Shuijiao Chen
24
11
0
11 Jan 2021
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
448
15,652
0
02 Nov 2015
1