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Iterative Attention Mining for Weakly Supervised Thoracic Disease
  Pattern Localization in Chest X-Rays

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays

3 July 2018
Jinzheng Cai
Le Lu
Adam P. Harrison
Xiaoshuang Shi
Pingjun Chen
L. Yang
ArXivPDFHTML

Papers citing "Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays"

16 / 16 papers shown
Title
Delving into Masked Autoencoders for Multi-Label Thorax Disease
  Classification
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao
Yutong Bai
Alan Yuille
Zongwei Zhou
MedIm
ViT
30
58
0
23 Oct 2022
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical
  Prior Probability Maps for Thoracic Disease Classification
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification
Md. Iqbal Hossain
Mohammad Zunaed
Md. Kawsar Ahmed
S. M. J. Hossain
Anwarul Hasan
Taufiq Hasan
ViT
18
4
0
06 Oct 2022
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning
  Assistance
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance
C. Pan
Gangming Zhao
Junjie Fang
Baolian Qi
Jiaheng Liu
Chaowei Fang
Dingwen Zhang
Jinpeng Li
Yizhou Yu
25
7
0
01 Jul 2022
A distillation based approach for the diagnosis of diseases
A distillation based approach for the diagnosis of diseases
Hmrishav Bandyopadhyay
Shuvayan Ghosh Dastidar
Bisakh Mondal
Biplab Banerjee
N. Das
14
1
0
07 Aug 2021
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease
  Localization in X-ray Images
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images
Baolian Qi
Gangming Zhao
Xin Wei
Chaowei Fang
C. Pan
Huiguang He
Jinpeng Li
26
10
0
14 Jul 2021
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
Nkechinyere N. Agu
Joy T. Wu
Hanqing Chao
Ismini Lourentzou
Arjun Sharma
Mehdi Moradi
Pingkun Yan
James A. Hendler
20
34
0
20 May 2021
Robust Classification from Noisy Labels: Integrating Additional
  Knowledge for Chest Radiography Abnormality Assessment
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment
Sebastian Gündel
A. Setio
Florin-Cristian Ghesu
Sasa Grbic
Bogdan Georgescu
Andreas K. Maier
D. Comaniciu
NoLa
15
28
0
12 Apr 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
16
315
0
15 Mar 2021
Weakly Supervised Thoracic Disease Localization via Disease Masks
Weakly Supervised Thoracic Disease Localization via Disease Masks
Hyun-woo Kim
Hong G Jung
Seong-Whan Lee
10
9
0
25 Jan 2021
Contralaterally Enhanced Networks for Thoracic Disease Detection
Contralaterally Enhanced Networks for Thoracic Disease Detection
Gangming Zhao
Chaowei Fang
Guanbin Li
Licheng Jiao
Yizhou Yu
MedIm
ViT
16
15
0
09 Oct 2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease
  Classification and Localization in Chest Radiographs
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
C. Seibold
Jens Kleesiek
H. Schlemmer
Rainer Stiefelhagen
SSL
13
6
0
30 Sep 2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray
  Abnormality Taxonomies
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies
Haomin Chen
S. Miao
Daguang Xu
Gregory Hager
Adam P. Harrison
14
28
0
11 Sep 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image
  Assessment
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
Florin-Cristian Ghesu
Bogdan Georgescu
Awais Mansoor
Y. Yoo
Eli Gibson
...
Ramandeep Singh
S. Digumarthy
M. Kalra
Sasa Grbic
D. Comaniciu
UQCV
EDL
23
55
0
08 Jul 2020
Models Genesis
Models Genesis
Zongwei Zhou
V. Sodha
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
21
26
0
09 Apr 2020
Learning Fixed Points in Generative Adversarial Networks: From
  Image-to-Image Translation to Disease Detection and Localization
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
M. R. Siddiquee
Zongwei Zhou
Nima Tajbakhsh
Ruibin Feng
Michael B. Gotway
Yoshua Bengio
Jianming Liang
GAN
MedIm
14
91
0
16 Aug 2019
When does Bone Suppression and Lung Field Segmentation Improve Chest
  X-Ray Disease Classification?
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?
Ivo M. Baltruschat
Leonhard Steinmeister
H. Ittrich
G. Adam
H. Nickisch
A. Saalbach
J. V. Berg
M. Grass
T. Knopp
13
22
0
17 Oct 2018
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