@article{3153,
  author = {Melinda Kovács, Szilvia Nagy},
  title = {Computerised Tomography of Human Liver Images},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2020},
  volume = {11},
  number = {4},
  doi = {https://doi.org/10.6025/jmpt/2020/11/4/137-144},
  url = {https://www.dline.info/jmpt/fulltext/v11n4/jmptv11n4_4.pdf},
  abstract = {Computerised tomography can able to analyse the images of human liver where the statistical parameters are studied using pre-processing methods. This process enables to develop a dataset of intelligent image segmentation and lesion classifying methods with both the liver and the different types of roundish objects within the liver having their own masks as well as their classification. To ensure the validity of the proposed system, the masks can be cross
checked, labelled and corrected by medical experts manually, they only give a basis for helping to build the database.},
}