Revolutionizing Cancer Diagnosis Through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images

Mostafa A. Hammouda, Marwan Khaled, Hesham Ali 0002, Sahar Selim, Mustafa Elattar. Revolutionizing Cancer Diagnosis Through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images. In Gordon D. Waiter, Tryphon Lambrou, Georgios Leontidis, Nir Oren, Teresa Morris, Sharon Gordon, editors, Medical Image Understanding and Analysis - 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023, Proceedings. Volume 14122 of Lecture Notes in Computer Science, pages 197-214, Springer, 2023. [doi]

@inproceedings{HammoudaKASE23,
  title = {Revolutionizing Cancer Diagnosis Through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images},
  author = {Mostafa A. Hammouda and Marwan Khaled and Hesham Ali 0002 and Sahar Selim and Mustafa Elattar},
  year = {2023},
  doi = {10.1007/978-3-031-48593-0_15},
  url = {https://doi.org/10.1007/978-3-031-48593-0_15},
  researchr = {https://researchr.org/publication/HammoudaKASE23},
  cites = {0},
  citedby = {0},
  pages = {197-214},
  booktitle = {Medical Image Understanding and Analysis - 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023, Proceedings},
  editor = {Gordon D. Waiter and Tryphon Lambrou and Georgios Leontidis and Nir Oren and Teresa Morris and Sharon Gordon},
  volume = {14122},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-48593-0},
}