Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem

Luigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, Modesto Castrillón Santana, Paola Barra, Genoveffa Tortora. Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem. BMC Bioinformatics, 24(1):386, December 2023. [doi]

@article{BiasiMCSBT23,
  title = {Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem},
  author = {Luigi Di Biasi and Fabiola De Marco and Alessia Auriemma Citarella and Modesto Castrillón Santana and Paola Barra and Genoveffa Tortora},
  year = {2023},
  month = {December},
  doi = {10.1186/s12859-023-05516-5},
  url = {https://doi.org/10.1186/s12859-023-05516-5},
  researchr = {https://researchr.org/publication/BiasiMCSBT23},
  cites = {0},
  citedby = {0},
  journal = {BMC Bioinformatics},
  volume = {24},
  number = {1},
  pages = {386},
}