Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa. MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis. In Maria De Marsico, Gabriella Sanniti di Baja, Ana L. N. Fred, editors, Pattern Recognition Applications and Methods - 12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22-24, 2023, Revised Selected Papers. Volume 14547 of Lecture Notes in Computer Science, pages 49-68, Springer, 2023. [doi]
@inproceedings{YoshidaUSNM23a,
title = {MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis},
author = {Takeshi Yoshida and Kazuki Uehara and Hidenori Sakanashi and Hirokazu Nosato and Masahiro Murakawa},
year = {2023},
doi = {10.1007/978-3-031-54726-3_4},
url = {https://doi.org/10.1007/978-3-031-54726-3_4},
researchr = {https://researchr.org/publication/YoshidaUSNM23a},
cites = {0},
citedby = {0},
pages = {49-68},
booktitle = {Pattern Recognition Applications and Methods - 12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22-24, 2023, Revised Selected Papers},
editor = {Maria De Marsico and Gabriella Sanniti di Baja and Ana L. N. Fred},
volume = {14547},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-54726-3},
}