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ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on
  Weakly-Supervised Classification and Localization of Common Thorax Diseases
v1v2v3v4v5 (latest)

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

5 May 2017
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
M. Bagheri
Ronald M. Summers
    LM&MA
ArXiv (abs)PDFHTML

Papers citing "ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases"

43 / 393 papers shown
Title
DeepSeeNet: A deep learning model for automated classification of
  patient-based age-related macular degeneration severity from color fundus
  photographs
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
Yifan Peng
S. Dharssi
Qingyu Chen
T. Keenan
Elvira Agrón
W. Wong
E. Chew
Zhiyong Lu
MedIm
72
265
0
19 Nov 2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease
  Classification in Chest X-ray Images
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images
Han Liu
Lei Wang
Y. Nan
F. Jin
Qi Wang
J. Pu
191
96
0
30 Oct 2018
Fine-Grained Classification of Cervical Cells Using Morphological and
  Appearance Based Convolutional Neural Networks
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks
Haoming Lin
Yuyang Hu
Siping Chen
Jianhua Yao
Ling Zhang
41
90
0
14 Oct 2018
A Deep Learning Framework for Single-Sided Sound Speed Inversion in
  Medical Ultrasound
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound
Micha Feigin-Almon
Daniel Freedman
B. Anthony
SyDaMedIm
150
86
0
30 Sep 2018
Weakly-Supervised Localization and Classification of Proximal Femur
  Fractures
Weakly-Supervised Localization and Classification of Proximal Femur Fractures
Amelia Jiménez-Sánchez
Anees Kazi
Shadi Albarqouni
S. Kirchhoff
Alexandra Sträter
P. Biberthaler
Diana Mateus
Nassir Navab
31
6
0
27 Sep 2018
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast
  DCE-MRI
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI
Gabriel Maicas
A. Bradley
Jacinto C. Nascimento
Ian Reid
G. Carneiro
82
28
0
25 Sep 2018
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest
  X-ray Images
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
Chengsheng Mao
Yiheng Pan
Zexian Zeng
Liang Yao
Yuan Luo
MedIm
71
33
0
20 Sep 2018
Bimodal network architectures for automatic generation of image
  annotation from text
Bimodal network architectures for automatic generation of image annotation from text
Mehdi Moradi
Ali Madani
Yaniv Gur
Yufan Guo
Tanveer Syeda-Mahmood
50
20
0
05 Sep 2018
Dynamic Routing on Deep Neural Network for Thoracic Disease
  Classification and Sensitive Area Localization
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization
Yan Shen
Mingchen Gao
MedIm
77
53
0
17 Aug 2018
Auto-Classification of Retinal Diseases in the Limit of Sparse Data
  Using a Two-Streams Machine Learning Model
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
Chao-Han Huck Yang
Fangyu Liu
Jia-Hong Huang
Meng Tian
Hiromasa Morikawa
I-Hung Lin
Yi-Chieh Liu
Hao-Hsiang Yang
Jesper N. Tegnér
81
18
0
16 Aug 2018
Attention-Guided Curriculum Learning for Weakly Supervised
  Classification and Localization of Thoracic Diseases on Chest Radiographs
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs
Yuxing Tang
Xiaosong Wang
Adam P. Harrison
Le Lu
Jing Xiao
Ronald M. Summers
98
154
0
19 Jul 2018
Fully Convolutional Pixel Adaptive Image Denoiser
Fully Convolutional Pixel Adaptive Image Denoiser
Sungmin Cha
Taesup Moon
57
51
0
19 Jul 2018
Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist
  Validation of an Algorithm trained on 2.3 Million X-Rays
Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 2.3 Million X-Rays
Preetham Putha
M. Tadepalli
B. Reddy
T. Raj
Justy Antony Chiramal
...
KS Manjunath
Sundeep Reddivari
Ammar Jagirdar
Pooja Rao
Prashant Warier
MedIm
20
25
0
19 Jul 2018
Longitudinal detection of radiological abnormalities with time-modulated
  LSTM
Longitudinal detection of radiological abnormalities with time-modulated LSTM
Ruggiero Santeramo
S. Withey
Giovanni Montana
63
33
0
16 Jul 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and
  Localization on Chest X-rays
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
Chaochao Yan
Jiawen Yao
Ruoyu Li
Zheng Xu
Junzhou Huang
69
120
0
16 Jul 2018
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
83
109
0
09 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against
  Adversarial Attacks
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
Saeid Asgari Taghanaki
A. Das
Ghassan Hamarneh
MedIm
91
52
0
09 Jul 2018
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases
  and Identifying Abnormalities
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities
Bo Zhou
Yuemeng Li
Jiangcong Wang
MedIm
86
26
0
03 Jul 2018
Confounding variables can degrade generalization performance of
  radiological deep learning models
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
91
1,185
0
02 Jul 2018
Towards Radiologist-Level Accurate Deep Learning System for Pulmonary
  Screening
Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening
Mrinal Haloi
K. Rajalakshmi
Pradeep Walia
LM&MAMedIm
27
15
0
25 Jun 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative
  Adversarial Networks for Robust Lung Segmentation
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
D. Jin
Ziyue Xu
Youbao Tang
Adam P. Harrison
D. Mollura
MedIm
123
185
0
11 Jun 2018
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report
  Generation
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Yuan Li
Xiaodan Liang
Zhiting Hu
Eric Xing
MedIm
79
340
0
21 May 2018
Multi-label Classification of Surgical Tools with Convolutional Neural
  Networks
Multi-label Classification of Surgical Tools with Convolutional Neural Networks
J. Prellberg
Oliver Kramer
32
8
0
15 May 2018
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using
  Dual Convolutional Neural Networks
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks
Jonathan Rubin
Deepan Sanghavi
Claire Zhao
Kathy Lee
Ashequl Qadir
M. Xu-Wilson
MedIm
63
84
0
20 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems
Adversarial Attacks Against Medical Deep Learning Systems
S. G. Finlayson
Hyung Won Chung
I. Kohane
Andrew L. Beam
SILMAAMLOODMedIm
85
232
0
15 Apr 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple
  Resolutions
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
L. Yao
Jordan Prosky
Eric Poblenz
Ben Covington
Kevin Lyman
63
123
0
21 Mar 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
86
195
0
12 Mar 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray
  Classification
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
Ivo M. Baltruschat
H. Nickisch
M. Grass
T. Knopp
A. Saalbach
96
384
0
06 Mar 2018
Abnormality Detection in Mammography using Deep Convolutional Neural
  Networks
Abnormality Detection in Mammography using Deep Convolutional Neural Networks
Pengcheng Xi
Chang Shu
R. Goubran
MedIm
79
97
0
05 Mar 2018
Diagnose like a Radiologist: Attention Guided Convolutional Neural
  Network for Thorax Disease Classification
Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification
Q. Guan
Yaping Huang
Zhun Zhong
Zhedong Zheng
Liang Zheng
Yi Yang
75
260
0
30 Jan 2018
TieNet: Text-Image Embedding Network for Common Thorax Disease
  Classification and Reporting in Chest X-rays
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
Ronald M. Summers
MedIm
76
469
0
12 Jan 2018
Deep Learning with Lung Segmentation and Bone Shadow Exclusion
  Techniques for Chest X-Ray Analysis of Lung Cancer
Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer
Yuri G. Gordienko
Peng Gang
Jiang Hui
Wei Zeng
Yuriy Kochura
Oleg Alienin
Oleksandr Rokovyi
S. Stirenko
61
187
0
20 Dec 2017
NegBio: a high-performance tool for negation and uncertainty detection
  in radiology reports
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
Yifan Peng
Xiaosong Wang
Le Lu
M. Bagheri
Ronald M. Summers
Zhiyong Lu
MedImUQCV
69
199
0
16 Dec 2017
MURA: Large Dataset for Abnormality Detection in Musculoskeletal
  Radiographs
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs
Pranav Rajpurkar
Jeremy Irvin
Aarti Bagul
D. Ding
Tony Duan
...
Robyn L. Ball
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
97
75
0
11 Dec 2017
Learning to detect chest radiographs containing lung nodules using
  visual attention networks
Learning to detect chest radiographs containing lung nodules using visual attention networks
E. Pesce
P. Ypsilantis
S. Withey
R. Bakewell
Vicky Goh
Giovanni Montana
65
109
0
04 Dec 2017
Deep Lesion Graphs in the Wild: Relationship Learning and Organization
  of Significant Radiology Image Findings in a Diverse Large-scale Lesion
  Database
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database
Ke Yan
Xiaosong Wang
Le Lu
Ling Zhang
Adam P. Harrison
M. Bagheri
Ronald M. Summers
MedIm
114
147
0
28 Nov 2017
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head
  Images
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images
J. Merkow
R. Lufkin
Kim Nguyen
Stefano Soatto
Zhuowen Tu
Andrea Vedaldi
MedIm
61
17
0
26 Nov 2017
Boosted Cascaded Convnets for Multilabel Classification of Thoracic
  Diseases in Chest Radiographs
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
Pulkit Kumar
Monika Grewal
Muktabh Mayank Srivastava
65
113
0
23 Nov 2017
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
81
330
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
109
2,720
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
83
336
0
28 Oct 2017
Abnormality Detection and Localization in Chest X-Rays using Deep
  Convolutional Neural Networks
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
M. Islam
Md Abdul Aowal
A. T. Minhaz
Khalid Ashraf
75
189
0
27 May 2017
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in
  Chest X-rays
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
Wei-Ming Dai
Joseph Doyle
Xiaodan Liang
Zeya Wang
Nanqing Dong
Huatian Zhang
Eric Xing
MedIm
93
170
0
26 Mar 2017
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