Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images. Rahmon, G., Toubal, I. E., & Palaniappan, K. In 50th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2021, Washington, DC, USA, October 12-14, 2021, pages 1–7, 2021. IEEE.
Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/aipr/RahmonTP21,
  author       = {Gani Rahmon and
                  Imad Eddine Toubal and
                  Kannappan Palaniappan},
  title        = {Extending U-Net Network for Improved Nuclei Instance Segmentation
                  Accuracy in Histopathology Images},
  booktitle    = {50th {IEEE} Applied Imagery Pattern Recognition Workshop, {AIPR} 2021,
                  Washington, DC, USA, October 12-14, 2021},
  pages        = {1--7},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/AIPR52630.2021.9762213},
  doi          = {10.1109/AIPR52630.2021.9762213},
  timestamp    = {Mon, 02 May 2022 11:47:01 +0200},
  biburl       = {https://dblp.org/rec/conf/aipr/RahmonTP21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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