Lightweight SDENet Fusing Model-Based and Learned Features for Computational Histopathology. Bao, R., Zhao, Y., Srivastava, A., Frazier, S., & Palaniappan, K. IEEE J. Sel. Top. Signal Process., 18(6):1123–1137, 2024.
Lightweight SDENet Fusing Model-Based and Learned Features for Computational Histopathology [link]Paper  doi  bibtex   
@article{DBLP:journals/jstsp/BaoZSFP24,
  author       = {Rina Bao and
                  Yunxin Zhao and
                  Akhil Srivastava and
                  Shellaine Frazier and
                  Kannappan Palaniappan},
  title        = {Lightweight SDENet Fusing Model-Based and Learned Features for Computational
                  Histopathology},
  journal      = {{IEEE} J. Sel. Top. Signal Process.},
  volume       = {18},
  number       = {6},
  pages        = {1123--1137},
  year         = {2024},
  url          = {https://doi.org/10.1109/JSTSP.2024.3470312},
  doi          = {10.1109/JSTSP.2024.3470312},
  timestamp    = {Sun, 15 Jun 2025 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/jstsp/BaoZSFP24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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