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Multi-label Thoracic Disease Image Classification with Cross-Attention
  Networks

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks

21 July 2020
Congbo Ma
Hu Wang
Guosheng Lin
ArXivPDFHTML

Papers citing "Multi-label Thoracic Disease Image Classification with Cross-Attention Networks"

10 / 10 papers shown
Title
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Chong Wang
Fengbei Liu
Yuanhong Chen
Helen Frazer
Gustavo Carneiro
57
2
0
07 Nov 2024
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
110
2,583
0
21 Jan 2019
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases
  on Chest Radiography
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Hongyu Wang
Yong-quan Xia
50
107
0
09 Jul 2018
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware
  Dense Networks
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Sebastian Gündel
Sasa Grbic
Bogdan Georgescu
S. Kevin Zhou
L. Ritschl
A. Meier
Dorin Comaniciu
47
192
0
12 Mar 2018
Thoracic Disease Identification and Localization with Limited
  Supervision
Thoracic Disease Identification and Localization with Limited Supervision
Zhe Li
Chong Wang
Mei Han
Yuan Xue
Wei Wei
Li Li
F. Li
60
329
0
17 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep
  Learning
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
...
Aarti Bagul
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
LM&MA
78
2,696
0
14 Nov 2017
Learning to diagnose from scratch by exploiting dependencies among
  labels
Learning to diagnose from scratch by exploiting dependencies among labels
L. Yao
Eric Poblenz
Dmitry Dagunts
Ben Covington
D. Bernard
Kevin Lyman
59
334
0
28 Oct 2017
Focal Loss for Dense Object Detection
Focal Loss for Dense Object Detection
Nayeon Lee
Priya Goyal
Ross B. Girshick
Kaiming He
Piotr Dollár
ObjD
112
2,997
0
07 Aug 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
628
130,942
0
12 Jun 2017
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
227
9,298
0
14 Dec 2015
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