Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression

Sean Grullon, Vaughn Spurrier, Jiayi Zhao, Corey Chivers, Yang Jiang, Kiran Motaparthi, Jason B. Lee, Michael J. Bonham, Julianna D. Ianni. Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino, editors, Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII. Volume 13807 of Lecture Notes in Computer Science, pages 442-456, Springer, 2022. [doi]

@inproceedings{GrullonSZCJMLBI22,
  title = {Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression},
  author = {Sean Grullon and Vaughn Spurrier and Jiayi Zhao and Corey Chivers and Yang Jiang and Kiran Motaparthi and Jason B. Lee and Michael J. Bonham and Julianna D. Ianni},
  year = {2022},
  doi = {10.1007/978-3-031-25082-8_29},
  url = {https://doi.org/10.1007/978-3-031-25082-8_29},
  researchr = {https://researchr.org/publication/GrullonSZCJMLBI22},
  cites = {0},
  citedby = {0},
  pages = {442-456},
  booktitle = {Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII},
  editor = {Leonid Karlinsky and Tomer Michaeli and Ko Nishino},
  volume = {13807},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25082-8},
}