An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy

Vitoantonio Bevilacqua, Nicola Pietroleonardo, Vito Triggiani, Antonio Brunetti, Annamaria Di Palma, Michele Rossini, Loreto Gesualdo. An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy. Neurocomputing, 228:143-153, 2017. [doi]

@article{BevilacquaPTBPR17,
  title = {An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy},
  author = {Vitoantonio Bevilacqua and Nicola Pietroleonardo and Vito Triggiani and Antonio Brunetti and Annamaria Di Palma and Michele Rossini and Loreto Gesualdo},
  year = {2017},
  doi = {10.1016/j.neucom.2016.09.091},
  url = {http://dx.doi.org/10.1016/j.neucom.2016.09.091},
  researchr = {https://researchr.org/publication/BevilacquaPTBPR17},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {228},
  pages = {143-153},
}