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. 2101.07983
  4. Cited By
Cell image segmentation by Feature Random Enhancement Module

Cell image segmentation by Feature Random Enhancement Module

20 January 2021
Takamasa Ando
Kazuhiro Hotta
    SSeg
ArXivPDFHTML

Papers citing "Cell image segmentation by Feature Random Enhancement Module"

14 / 14 papers shown
Title
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image
  segmentation
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
Jiawei Zhang
Yuzhen Jin
Jilan Xu
Xiaowei Xu
Yanchun Zhang
SSeg
MedIm
AI4CE
63
118
0
02 Dec 2018
RA-UNet: A hybrid deep attention-aware network to extract liver and
  tumor in CT scans
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Qiangguo Jin
Zhao-Peng Meng
Changming Sun
Leyi Wei
R. Su
MedIm
94
358
0
04 Nov 2018
DUNet: A deformable network for retinal vessel segmentation
DUNet: A deformable network for retinal vessel segmentation
Qiangguo Jin
Zhao-Peng Meng
Tuan D. Pham
Qi Chen
Leyi Wei
R. Su
51
676
0
03 Nov 2018
Channel-wise and Spatial Feature Modulation Network for Single Image
  Super-Resolution
Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution
Yanting Hu
Jie Li
Yuanfei Huang
Xinbo Gao
SupR
46
256
0
28 Sep 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
95
6,106
0
18 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
206
16,450
0
17 Jul 2018
Image Super-Resolution Using Very Deep Residual Channel Attention
  Networks
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang
Kunpeng Li
Kai Li
Lichen Wang
Bineng Zhong
Y. Fu
SupR
103
4,308
0
08 Jul 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
143
5,018
0
11 Apr 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
374
26,362
0
05 Sep 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
573
130,942
0
12 Jun 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
499
11,983
0
04 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.7K
193,390
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,894
0
18 May 2015
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
311
2,238
0
18 Sep 2014
1