Published August 6, 2018 | Version v1
Dataset Open

Dataset of B-mode fatty liver ultrasound images

  • 1. Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawinskiego 5B, 02-106 Warsaw, Poland
  • 2. Department of Internal Medicine, Hypertension and Vascular Diseases, Medical University of Warsaw, Warsaw, Poland
  • 3. Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland
  • 4. Department of Pathology, Center for Biostructure Research, Medical University of Warsaw, Warsaw, Poland

Description

The dataset used and described in: M. Byra, G. Styczynski, C. Szmigielski, P. Kalinowski. Ł. Michałowski4. R. Paluszkiewicz. B. Ziarkiewicz-Wróblewska, K. Zieniewicz. P. Sobieraj, A. Nowicki. Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images. International Journal of Computer Assisted Radiology and Surgery, 2018. DOI: 10.1007/s11548-018-1843-2. 

Please refer to the above work if you use the dataset in your research. 

Contact:
Michal Byra
Department of Ultrasound
Institute of Fundamental Technological Research
Polish Academy of Sciences, Warsaw, Poland
mbyra@ippt.pan.pl
byra.michal@gmail.com

Files

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Additional details

Related works

Is supplement to
10.1007/s11548-018-1843-2 (DOI)

References

  • M. Byra, G. Styczynski, C. Szmigielski, P. Kalinowski. Ł. Michałowski4. R. Paluszkiewicz. B. Ziarkiewicz-Wróblewska, K. Zieniewicz. P. Sobieraj, A. Nowicki. Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images. International Journal of Computer Assisted Radiology and Surgery, 2018. DOI: 10.1007/s11548-018-1843-2