A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics

Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A. M. Janssen, Kjersti Engan. A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. In Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud, editors, Northern Lights Deep Learning Conference, NLDL 2024, 9-11 January 2024, UiT The Arctic University, Tromsø, Norway. Volume 233 of Proceedings of Machine Learning Research, pages 20-26, PMLR, 2024. [doi]

@inproceedings{Bo-SandeBKFHLJE24,
  title = {A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics},
  author = {Marie Bø-Sande and Edvin Benjaminsen and Neel Kanwal and Saul Fuster and Helga Hardardottir and Ingrid Lundal and Emilius A. M. Janssen and Kjersti Engan},
  year = {2024},
  url = {https://proceedings.mlr.press/v233/bo-sande24a.html},
  researchr = {https://researchr.org/publication/Bo-SandeBKFHLJE24},
  cites = {0},
  citedby = {0},
  pages = {20-26},
  booktitle = {Northern Lights Deep Learning Conference, NLDL 2024, 9-11 January 2024, UiT The Arctic University, Tromsø, Norway},
  editor = {Tetiana Lutchyn and Adín Ramírez Rivera and Benjamin Ricaud},
  volume = {233},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}