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2110.05144
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AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation
11 October 2021
Syeda Furruka Banu
Md. Mostafa Kamal Sarker
M. Abdel-Nasser
D. Puig
Hatem A. Rashwan
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Papers citing
"AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation"
23 / 23 papers shown
Title
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation
Nikhil Varma Keetha
P. SamsonAnoshBabu
Chandra Sekhara Rao Annavarapu
45
38
0
20 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
547
42,639
0
03 Dec 2019
Mish: A Self Regularized Non-Monotonic Activation Function
Diganta Misra
80
680
0
23 Aug 2019
NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
Hao Tang
Chupeng Zhang
Xiaohui Xie
45
95
0
25 Jul 2019
Dual-branch residual network for lung nodule segmentation
Haichao Cao
Hong Liu
E. Song
C. Hung
Guangzhi Ma
Xiangyang Xu
Renchao Jin
Jianguo Lu
40
110
0
21 May 2019
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
Guilherme Aresta
Colin Jacobs
Teresa Araújo
António Cunha
Isabel Ramos
Bram van Ginneken
A. Campilho
31
77
0
30 Nov 2018
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
324
5,114
0
09 Sep 2018
Pyramid Attention Network for Semantic Segmentation
Hanchao Li
Pengfei Xiong
Jie An
Lingxue Wang
SSeg
171
850
0
25 May 2018
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction
Botong Wu
Zhen Zhou
Jianwei Wang
Yizhou Wang
50
120
0
10 Feb 2018
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
234
8,491
0
17 Jun 2017
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
Chao Peng
Xiangyu Zhang
Gang Yu
G. Luo
Jian Sun
VLM
SSeg
105
1,491
0
08 Mar 2017
A Robust Adaptive Stochastic Gradient Method for Deep Learning
Çağlar Gülçehre
Jose M. R. Sotelo
Marcin Moczulski
Yoshua Bengio
ODL
52
25
0
02 Mar 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
A. Setio
A. Traverso
Thomas de Bel
Moira S. N. Berens
C. V. D. Bogaard
...
Jef Vandemeulebroucke
N. Walasek
G. Zuidhof
Bram van Ginneken
Colin Jacobs
99
1,080
0
23 Dec 2016
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
488
22,158
0
09 Dec 2016
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
665
12,035
0
04 Dec 2016
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH
3DV
105
2,573
0
30 Nov 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
531
62,409
0
04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.9K
77,441
0
18 May 2015
Fast R-CNN
Ross B. Girshick
ObjD
312
25,087
0
30 Apr 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,832
0
01 May 2014
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
291
26,223
0
11 Nov 2013
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