The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Deep Learning and Biomedical Engineering
Abstract
Deep learning (DL) is a method of machine learning, as running over artificial neural networks, which has a structure above the standards to deal with large amounts of data. That is generally because of the increasing amount of data, input data sizes, and of course, greater complexity of objective real-world problems. Performed research studies in the associated literature show that the DL currently has a good performance among considered problems and it seems to be a strong solution for more advanced problems of the future. In this context, this chapter aims to provide some essential information about DL and its applications within the field of biomedical engineering. The chapter is organized as a reference source for enabling readers to have an idea about the relation between DL and biomedical engineering.
Related Content
Shweta Arun Avhad.
© 2023.
21 pages.
|
Majorie Moraa Nyasani, Victor Odhiambo Shikuku.
© 2023.
10 pages.
|
Prashant Kumar, Sunil Kumar Verma.
© 2023.
12 pages.
|
Sunil Kumar Verma, Prashant Kumar.
© 2023.
21 pages.
|
Kannadhasan S., Nagarajan R..
© 2023.
10 pages.
|
Kondapalli Vamsi Krishna, Sompalli Bhavana, Koushik Koujalagi, Alok Malaviya.
© 2023.
44 pages.
|
Bela Khiratkar, Shankar Mukundrao Khade, Abhishek Dutt Tripathi.
© 2023.
10 pages.
|
|
|