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Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition
  of Pneumonia from Chest X-Ray Images
v1v2 (latest)

Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images

29 October 2022
Shengchao Chen
Sufen Ren
Guanjun Wang
Mengxing Huang
Chenyang Xue
    ViTMedIm
ArXiv (abs)PDFHTML

Papers citing "Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images"

37 / 37 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
171
5,192
0
10 Jan 2022
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped
  Attention
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
Sitong Wu
Tianyi Wu
Hao Hao Tan
G. Guo
ViT
56
71
0
28 Dec 2021
Beyond Self-attention: External Attention using Two Linear Layers for
  Visual Tasks
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
Meng-Hao Guo
Zheng-Ning Liu
Tai-Jiang Mu
Shimin Hu
64
494
0
05 May 2021
Multiscale Vision Transformers
Multiscale Vision Transformers
Haoqi Fan
Bo Xiong
K. Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
ViT
132
1,259
0
22 Apr 2021
Going deeper with Image Transformers
Going deeper with Image Transformers
Hugo Touvron
Matthieu Cord
Alexandre Sablayrolles
Gabriel Synnaeve
Hervé Jégou
ViT
154
1,014
0
31 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
450
21,439
0
25 Mar 2021
DeepViT: Towards Deeper Vision Transformer
DeepViT: Towards Deeper Vision Transformer
Daquan Zhou
Bingyi Kang
Xiaojie Jin
Linjie Yang
Xiaochen Lian
Zihang Jiang
Qibin Hou
Jiashi Feng
ViT
99
522
0
22 Mar 2021
Exploring the Effect of Image Enhancement Techniques on COVID-19
  Detection using Chest X-rays Images
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
Tawsifur Rahman
Amith Khandakar
Yazan Qiblawey
Anas Tahir
S. Kiranyaz
...
M. Islam
S. Al-Maadeed
S. Zughaier
Muhammad Salman Khan
M. Chowdhury
60
829
0
25 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
657
41,103
0
22 Oct 2020
Global Self-Attention Networks for Image Recognition
Global Self-Attention Networks for Image Recognition
Zhuoran Shen
Irwan Bello
Raviteja Vemulapalli
Xuhui Jia
Ching-Hui Chen
ViT
55
29
0
06 Oct 2020
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray
  Images
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images
Aakarsh Malhotra
S. Mittal
P. Majumdar
S. Chhabra
K. Thakral
Mayank Vatsa
Richa Singh
S. Chaudhury
Ashwin Pudrod
A. Agrawal
49
60
0
03 Aug 2020
Improving performance of CNN to predict likelihood of COVID-19 using
  chest X-ray images with preprocessing algorithms
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Morteza Heidari
Seyedehnafiseh Mirniaharikandehei
Abolfazl Zargari Khuzani
Gopichandh Danala
Y. Qiu
Santa Cruz
66
350
0
11 Jun 2020
CoroNet: A deep neural network for detection and diagnosis of COVID-19
  from chest x-ray images
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
Asif Iqbal Khan
Junaid Latief Shah
M. Bhat
42
1,081
0
10 Apr 2020
Designing Network Design Spaces
Designing Network Design Spaces
Ilija Radosavovic
Raj Prateek Kosaraju
Ross B. Girshick
Kaiming He
Piotr Dollár
GNN
102
1,682
0
30 Mar 2020
Can AI help in screening Viral and COVID-19 pneumonia?
Can AI help in screening Viral and COVID-19 pneumonia?
M. Chowdhury
Tawsifur Rahman
Amith Khandakar
Rashid Mazhar
M. A. Kadir
...
Muhammad Salman Khan
A. Iqbal
N. Al-Emadi
M. Reaz
T. I. Islam
137
1,350
0
29 Mar 2020
Covid-19: Automatic detection from X-Ray images utilizing Transfer
  Learning with Convolutional Neural Networks
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos
Tzani Bessiana
68
1,916
0
25 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
111
2,504
0
22 Mar 2020
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
244
3,730
0
09 Jan 2019
CCNet: Criss-Cross Attention for Semantic Segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang
Xinggang Wang
Yunchao Wei
Lichao Huang
Humphrey Shi
Wenyu Liu
Chang Huang
VOS
212
2,546
0
28 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
94,891
0
11 Oct 2018
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
322
5,108
0
09 Sep 2018
BAGAN: Data Augmentation with Balancing GAN
BAGAN: Data Augmentation with Balancing GAN
G. Mariani
Florian Scheidegger
R. Istrate
C. Bekas
A. Malossi
55
313
0
26 Mar 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
289
8,906
0
21 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,500
0
05 Sep 2017
Unsupervised Domain Adaptation for Robust Speech Recognition via
  Variational Autoencoder-Based Data Augmentation
Unsupervised Domain Adaptation for Robust Speech Recognition via Variational Autoencoder-Based Data Augmentation
Wei-Ning Hsu
Yu Zhang
James R. Glass
61
129
0
19 Jul 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
704
131,652
0
12 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
517
10,330
0
16 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
315
20,023
0
07 Oct 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
333
8,130
0
13 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
349
7,985
0
23 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
377
14,253
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
155
3,656
0
24 Jun 2014
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