This dataset has been used in  and . The imaging parameters are given in the table below:
The networks are implemented using Pytorch 1.2 and Cuda 9.2. Scipy and OpenCV are also required. Should you have any questions, please contact firstname.lastname@example.org
If you used the code or the dataset please cite the following papers:
 Tehrani, Ali KZ, Mina Amiri, Ivan M. Rosado-Mendez, Timothy J. Hall, and Hassan Rivaz. “A Pilot Study on Scatterer Density Classification of Ultrasound Images Using Deep Neural Networks.” In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 2059-2062. IEEE, 2020.
 Tehrani, Ali KZ, Mina Amiri, Ivan M. Rosado-Mendez, Timothy J. Hall, and Hassan Rivaz. “Ultrasound Scatterer Density Classification Using Convolutional Neural Networks and Patch Statistics” IEEE Transactions on UFFC