1. Selection of Radiomic Features for the Classification of Triple-negative Breast Cancer Based on Radiogenomics
   Chiharu Kai et al, 2019, Japanese Journal of Radiological Technology CrossRef
2. Quantitative study of image features of clustered microcalcifications in for-presentation mammograms
   Juan Wang et al, 2016, 2016 IEEE International Conference on Image Processing (ICIP) CrossRef
3. Structural analysis of tissue in contiguous micro calcifications in mammograms for breast cancer identification
   null null et al, 2011, i-manager's Journal on Future Engineering and Technology CrossRef
4. Automatic Segmentation of Micro-calcification Based on SIFT in Mammograms
   Qiu Guan et al, 2008, 2008 International Conference on BioMedical Engineering and Informatics CrossRef
5. Business Process Modelling for a Greek Hospital's Medical Equipment Data Center
   Panagiotis Katrakazas et al, 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS) CrossRef
6. Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis
   A Karahaliou et al, 2007, The British Journal of Radiology CrossRef
7. Microcalcifications of Breast Tissue: Appearance on Synchrotron Radiation Imaging with 6-μm Resolution
   Keiko Imamura et al, 2008, American Journal of Roentgenology CrossRef
8. Histopathological Image Analysis: A Review
   M.N. Gurcan et al, 2009, IEEE Reviews in Biomedical Engineering CrossRef
9. A novel method for benign and malignant characterization of mammographic microcalcifications employing waveatom features and circular complex valued — Extreme Learning Machine
   Malar Elangeeran et al, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) CrossRef
10. Deep Learning Capabilities for the Categorization of Microcalcification
    Koushlendra Kumar Singh et al, 2022, International Journal of Environmental Research and Public Health CrossRef