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MURA: Large Dataset for Abnormality Detection in Musculoskeletal
  Radiographs

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

11 December 2017
Pranav Rajpurkar
Jeremy Irvin
Aarti Bagul
D. Ding
Tony Duan
Hershel Mehta
Brandon Yang
Kaylie Zhu
Dillon Laird
Robyn L. Ball
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
ArXivPDFHTML

Papers citing "MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs"

8 / 8 papers shown
Title
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
Evangelia Christodoulou
Annika Reinke
Pascaline Andrè
Patrick Godau
P. Kalinowski
...
Amber L. Simpson
A. Kopp-Schneider
Gaël Varoquaux
O. Colliot
Lena Maier-Hein
43
0
0
07 May 2025
Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8
  Algorithm
Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm
Rui Ju
Weiming Cai
30
119
0
11 Apr 2023
Deployment of Image Analysis Algorithms under Prevalence Shifts
Deployment of Image Analysis Algorithms under Prevalence Shifts
Patrick Godau
P. Kalinowski
E. Christodoulou
Annika Reinke
M. Tizabi
Luciana Ferrer
Paul Jäger
Lena Maier-Hein
42
9
0
22 Mar 2023
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
40
77
0
03 Mar 2021
Exploring large scale public medical image datasets
Exploring large scale public medical image datasets
Luke Oakden-Rayner
18
171
0
30 Jul 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
29
200
0
15 Feb 2019
When Semi-Supervised Learning Meets Transfer Learning: Training
  Strategies, Models and Datasets
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
Hong-Yu Zhou
Avital Oliver
Jianxin Wu
Yefeng Zheng
24
22
0
13 Dec 2018
Aleatoric uncertainty estimation with test-time augmentation for medical
  image segmentation with convolutional neural networks
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Guotai Wang
Wenqi Li
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
UQCV
MedIm
OOD
52
582
0
19 Jul 2018
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