Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations

Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori. Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations. In Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei 0001, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani, editors, Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part I. Volume 12661 of Lecture Notes in Computer Science, pages 105-119, Springer, 2020. [doi]

@inproceedings{MariniOMA20,
  title = {Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations},
  author = {Niccolò Marini and Sebastian Otálora and Henning Müller and Manfredo Atzori},
  year = {2020},
  doi = {10.1007/978-3-030-68763-2_9},
  url = {https://doi.org/10.1007/978-3-030-68763-2_9},
  researchr = {https://researchr.org/publication/MariniOMA20},
  cites = {0},
  citedby = {0},
  pages = {105-119},
  booktitle = {Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part I},
  editor = {Alberto Del Bimbo and Rita Cucchiara and Stan Sclaroff and Giovanni Maria Farinella and Tao Mei 0001 and Marco Bertini and Hugo Jair Escalante and Roberto Vezzani},
  volume = {12661},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-68763-2},
}