Page 227 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

Chapter 7 Early detection and diagnosis using deep learning 217

[30] Key Challenges in Biomedicine. https://bmcmedicine.biomedcentral.com/
articles/10.1186/s12916-019-1426-2. (Last visited 30 March 2020).
[31] U. Sinha, A. Singh, D.K. Sharma, Machine learning in the medical industry,
in: A. Solanki, S. Kumar, A. Nayyar (Eds.), Handbook of Research on
Emerging Trends and Applications of Machine Learning, IGI Global, 2020,
pp. 403e424.
[32] S. Bagga, S. Gupta, D.K. Sharma, Computer-assisted anthropology, in:
Internet of Things in Biomedical Engineering, Academic Press, Elsevier,
2019, pp. 21e47.
[33] V. Vashishth, A. Chhabra, D.K. Sharma, A machine learning approach using
classifier cascades for optimal routing in opportunistic internet of things
networks, in: 16th IEEE International Conference on Sensing,
Communication, and Networking (SECON), 10e13 June 2019, Boston, MA,
USA, 2019.
[34] S.G. Finlayson, J.D. Bowers, J. Ito, J.L. Zittrain, A.L. Beam, I.S. Kohane,
Adversarial attacks on medical machine learning, Science 363 (2019)
1287e1289.