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Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease
  Dependencies and Uncertainty Labels

Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels

25 May 2020
Hieu H. Pham
T. Le
Dat Ngo
Dat Q. Tran
H. Nguyen
ArXivPDFHTML

Papers citing "Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels"

9 / 59 papers shown
Title
A New Window Loss Function for Bone Fracture Detection and Localization
  in X-ray Images with Point-based Annotation
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
Xinyu Zhang
Yirui Wang
Chi-Tung Cheng
Le Lu
Adam P. Harrison
Jing Xiao
Chien-Hung Liao
S. Miao
MedIm
8
5
0
07 Dec 2020
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and
  Empirical Studies on Medical Image Classification
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Zhuoning Yuan
Yan Yan
Milan Sonka
Tianbao Yang
AI4TS
MedIm
OOD
21
118
0
06 Dec 2020
Deep Learning for Medical Anomaly Detection -- A Survey
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando
Harshala Gammulle
Simon Denman
Sridha Sridharan
Clinton Fookes
OOD
20
271
0
04 Dec 2020
Interpretation of smartphone-captured radiographs utilizing a deep
  learning-based approach
Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach
Hung Le
Phuong Nguyen
T. Nguyen
K. Le
Thanh-Thien Nguyen
MedIm
11
2
0
13 Sep 2020
Self-Training with Improved Regularization for Sample-Efficient Chest
  X-Ray Classification
Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification
Deepta Rajan
Jayaraman J. Thiagarajan
Alexandros Karargyris
Satyananda Kashyap
10
5
0
03 May 2020
Comparing Different Deep Learning Architectures for Classification of
  Chest Radiographs
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs
Keno K. Bressem
Lisa Christine Adams
C. Erxleben
B. Hamm
S. Niehues
J. Vahldiek
14
167
0
20 Feb 2020
A versatile anomaly detection method for medical images with a
  flow-based generative model in semi-supervision setting
A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting
Hisaichi Shibata
S. Hanaoka
Y. Nomura
Takahiro Nakao
Issei Sato
D. Sato
Naoto Hayashi
O. Abe
MedIm
8
2
0
22 Jan 2020
Deep learning with noisy labels: exploring techniques and remedies in
  medical image analysis
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
NoLa
24
535
0
05 Dec 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
322
10,621
0
19 Feb 2017
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