Recent papers & patents

Patents

  • Method for processing biomedical images
    • CyclopusCAD S.r.l.
    • US Patent 8,144,963, (2012) (Read more)
  • Method of template matching for images analysis
    • CyclopusCAD S.r.l.
    • IT Patent PA2012 a000019, (2012) (Read more)

Scientific Papers

  • A multi-process systems for HEp-2 cells classification based on SVM
    • Cascio D, Taormina V, Cipolla M, Bruno S, Fauci F and Raso G
    • Pattern Recognition letters (2015)
  • Computer-assisted classification patterns in autoimmune diagnostics: the A.I.D.A. Project
    • Benammar Elgaaied A, Bruno S, Cascio D, Ciaccio M.C et al.
    • Journal of Medical Imaging and Health Informatics (2016)
  • Unsupervised clustering method for patterns recognition in IIF images
    • Vivona L, Cascio D, Ciaccio M. C. et al.
    • Computational Intelligence and Neuroscience (2015)
  • HEp-2 Cell Classification with heterogeneous classes-processes based on K-Nearest Neighbours
    • Cascio D, Taormina V, Cipolla M, Fauci F, Vasile M and Raso G
    • IEEE Computer Society, Proceeding of 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 10-15, (2014)
  • Preliminary results of the project A.I.D.A. (Auto I mmunity: Diagnosis Assisted by computer)
    • Benammar Elgaaied A, Bruno S, Cascio D et al.
    • Recent Advances in Biology, Biomedicine and Bioengineering, 105-110, (2014) (Read more)
  • Fuzzy technique for microcalcifications clustering in digital mammograms
    • L Vivona, D Cascio, F Fauci, G Raso
    • BMC medical imaging 14 (1), 23, (2014)
  • Mammographic images segmentation based on chaotic map clustering algorithm
    • M Iacomi, D Cascio, F Fauci, G Raso
    • BMC medical imaging 14 (1), 12, (2014)
  • Computer-aided diagnosis in digital mammography: comparison of two commercial systems
    • D Cascio, F Fauci, M Iacomi, G Raso, R Magro, D Castrogiovanni et al.
    • Imaging in Medicine 6 (1), 13-20, (2014)
  • A fuzzy logic C-means clustering algorithm to enhance microcalcifications clusters in digital mammograms
    • L Vivona, D Cascio, R Magro, F Fauci, G Raso
    • Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), (2011 )
  • ┬áFast Fourier Transform Filtering for Bilateral Mammography Comparison
    • D Cascio, V Chietri, F Fauci, M Iacomi et al.
    • ECR 2010 European Congress of Radiology, (2010)
  • Computer-assisted diagnosis (CAD) in mammography: comparison of diagnostic accuracy of a new algorithm (CyclopusCAD┬«) with two commercial systems
    • S Ciatto, D Cascio, F Fauci, R Magro, G Raso, R Ienzi, F Martinelli et al.
    • La radiologia medica 114 (4), 626-635, (2009)
  • A method to reduce the FP/imm number through CC and MLO views comparison in mammographic images
    • R Magro, D Cascio, F Fauci, L Lo Presti, G Raso, R Ienzi, M Glorioso et al.
    • Nuclear Science Symposium Conference Record, 2008. NSS’08. IEEE, 4364-4367, (2008)
  • A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model
    • R Bellotti et al.
    • Medical Physics 34 (12), 4901-4910, (2007)
  • Automated detection of lung nodules in low-dose computed tomography
    • D Cascio, SC Cheran, A Chincarini, G De Nunzio, P Delogu, ME Fantacci et al.
    • arXiv preprint arXiv:0707.2696, (2007)
  • Comparative study of feature classification methods for mass lesion recognition in digitized mammograms
    • GL Masala et al.
    • Nuovo Cimento della Fisica C, (2007)
  • Mammogram segmentation by contour searching and mass lesions classification with neural network
    • D Cascio, F Fauci, R Magro, G Raso, R Bellotti, F De Carlo, S Tangaro et al.
    • Nuclear Science, IEEE Transactions on 53 (5), 2827-2833, (2006)