A hierarchical deep learning approach for segmentation of glioblastoma tumor niches on digital histopathology. Garzon, A. S., Verma, R., Chen, Y., Tovar, D. B., Castro, E. R., & Tiwari, P. In Tomaszewski, J. E., Ward, A. D., & Levenson, R. M., editors, Digital and Computational Pathology, volume 12039, of SPIE Proceedings, 2022. SPIE.
A hierarchical deep learning approach for segmentation of glioblastoma tumor niches on digital histopathology. [link]Link  A hierarchical deep learning approach for segmentation of glioblastoma tumor niches on digital histopathology. [link]Paper  bibtex   
@inproceedings{conf/midp/GarzonVCTCT22,
  added-at = {2024-12-24T00:00:00.000+0100},
  author = {Garzon, Alvaro Sandino and Verma, Ruchika and Chen, Yijang and Tovar, David Becerra and Castro, Eduardo Romero and Tiwari, Pallavi},
  biburl = {https://www.bibsonomy.org/bibtex/2d454bebfe1771632167b67cea8eb038d/dblp},
  booktitle = {Digital and Computational Pathology},
  crossref = {conf/midp/2022},
  editor = {Tomaszewski, John E. and Ward, Aaron D. and Levenson, Richard M.},
  ee = {https://doi.org/10.1117/12.2611855},
  interhash = {d37b803ec76054f765a962f5ec862a5c},
  intrahash = {d454bebfe1771632167b67cea8eb038d},
  isbn = {9781510649545},
  keywords = {dblp},
  publisher = {SPIE},
  series = {SPIE Proceedings},
  timestamp = {2024-12-30T07:13:55.000+0100},
  title = {A hierarchical deep learning approach for segmentation of glioblastoma tumor niches on digital histopathology.},
  url = {http://dblp.uni-trier.de/db/conf/midp/midp2022.html#GarzonVCTCT22},
  volume = 12039,
  year = 2022
}

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