Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer-Reference-Cited by-同舟云学术

Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer

Published:2020 Issue: Volume: Page:25-31
ISSN:0302-9743
Container-title:Mathematical and Computational Oncology
language:
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Author:

Welikala Roshan Alex,Remagnino Paolo,Lim Jian Han,Chan Chee Seng,Rajendran Senthilmani,Kallarakkal Thomas George,Zain Rosnah Binti,Jayasinghe Ruwan Duminda,Rimal Jyotsna,Kerr Alexander Ross,Amtha Rahmi,Patil Karthikeya,Tilakaratne Wanninayake Mudiyanselage,Gibson John,Cheong Sok Ching,Barman Sarah Ann

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-64511-3_3

Reference14 articles.

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3. Haron, N., et al.: m-Health for early detection of oral cancer in low-and middle-income countries. Telemed. e-Health 26(3), 278–285 (2020)

4. Uthoff, R.D., et al.: Point-of-care, smartphone-based, dual-modality, dual-view, oral cancer screening device with neural network classification for low-resource communities. PLoS One 13(12), e0207493 (2018)

5. Aubreville, M., et al.: Automatic classification of cancerous tissue in laserendomicroscopy images of the oral cavity using deep learning. Sci. Rep. 7(1), 1–10 (2017)

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