Stochastic gradient descent-based convolutional neural network to detect and classify oral cavity cancer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08283-w.pdf
Reference34 articles.
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2. Alabi RO, Bello IO, Youssef O, Elmusrati M, Mäkitie AA, Almangush A (2021) Utilizing deep machine learning for prognostication of oral squamous cell carcinoma—a systematic review. Front Oral Health 2:1–11. https://doi.org/10.3389/froh.2021.686863
3. Almangush A, Bello IO, Coletta RD, Mäkitie AA, Mäkinen LK, Kauppila JH et al (2015) For early-stage oral tongue cancer, depth of invasion and worst pattern of invasion are the strongest pathological predictors for locoregional recurrence and mortality. Virchows Arch 467:39–46. https://doi.org/10.1007/s00428-015-1758-z
4. Anantharaman R, Anantharaman V, Lee Y (2017) Oro vision: deep learning for classifying orofacial diseases. In: Proceedings of IEEE international conference on healthcare informatics (ICHI), p 3945. https://doi.org/10.1109/ICHI.2017.69
5. Anantharaman R, Velazquez M, Lee Y (2018) Utilizing mask R-CNN for detection and segmentation of oral diseases. In: IEEE international conference on bioinformatics and biomedicine (BIBM), pp 2197–2204. https://doi.org/10.1109/IWSSIP48289.2020.9145157
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