Mammographic Image Database (MIDB) and Associated Web-Enabled Software for Research
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-07887-8_72
Reference3 articles.
1. Patel, M.N., Looney, P.T., Young, K.C., Halling-Brown, M.D.: Automated collection of medical images for research from heterogeneous systems: Trials and tribulations. In: Proc. SPIE 9039 Medical Imaging (2014)
2. Mackenzie, A., et al.: Using image simulation to test the effect of detector type on breast cancer detection. In: Proc. SPIE 9037 Medical Imaging (2014)
3. Warren, L.M., Cooke, J., Given-Wilson, R., Wallis, M., Halling-Brown, M.: Effect of image processing on detection of non-calcification cancers in 2D digital mammography imaging. In: Proc SPIE Medical Imaging (2013)
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1. Mammography cancer detection: comparison of single 8MP and pair of 5MP reporting monitors;The British Journal of Radiology;2018-10
2. The relationship between cancer detection in mammography and image quality measurements;Physica Medica;2016-04
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