PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images

Abdelaziz Triki, Bassem Bouaziz, Jitendra Gaikwad, Walid Mahdi. PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images. In Teddy Mantoro, Minho Lee 0001, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto, editors, Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part I. Volume 13108 of Lecture Notes in Computer Science, pages 402-413, Springer, 2021. [doi]

@inproceedings{TrikiBGM21-0,
  title = {PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images},
  author = {Abdelaziz Triki and Bassem Bouaziz and Jitendra Gaikwad and Walid Mahdi},
  year = {2021},
  doi = {10.1007/978-3-030-92185-9_33},
  url = {https://doi.org/10.1007/978-3-030-92185-9_33},
  researchr = {https://researchr.org/publication/TrikiBGM21-0},
  cites = {0},
  citedby = {0},
  pages = {402-413},
  booktitle = {Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part I},
  editor = {Teddy Mantoro and Minho Lee 0001 and Media Anugerah Ayu and Kok Wai Wong and Achmad Nizar Hidayanto},
  volume = {13108},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-92185-9},
}