Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images

Alessandro Casella, Sara Moccia, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Alexa Bicelli, Dario Paladini, Elena De Momi, Leonardo S. Mattos. Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images. In Pier Luigi Mazzeo, Emanuele Frontoni, Stan Sclaroff, Cosimo Distante, editors, Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part II. Volume 13374 of Lecture Notes in Computer Science, pages 145-153, Springer, 2021. [doi]

@inproceedings{CasellaMCPBPMM21,
  title = {Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images},
  author = {Alessandro Casella and Sara Moccia and Ilaria Anita Cintorrino and Gaia Romana De Paolis and Alexa Bicelli and Dario Paladini and Elena De Momi and Leonardo S. Mattos},
  year = {2021},
  doi = {10.1007/978-3-031-13324-4_13},
  url = {https://doi.org/10.1007/978-3-031-13324-4_13},
  researchr = {https://researchr.org/publication/CasellaMCPBPMM21},
  cites = {0},
  citedby = {0},
  pages = {145-153},
  booktitle = {Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part II},
  editor = {Pier Luigi Mazzeo and Emanuele Frontoni and Stan Sclaroff and Cosimo Distante},
  volume = {13374},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-13324-4},
}