Semantic Scholar Open Access 2019 350 sitasi

Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.

G. Currie K. Hawk E. Rohren Alanna Vial R. Klein

Lihat Sumber DOI

Abstrak

Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An understanding of the principles and application of radiomics, artificial neural networks, machine learning, and deep learning is an essential foundation to weave design solutions that accommodate ethical and regulatory requirements, and to craft AI-based algorithms that enhance outcomes, quality, and efficiency. Moreover, a more holistic perspective of applications, opportunities, and challenges from a programmatic perspective contributes to ethical and sustainable implementation of AI solutions.

Topik & Kata Kunci

Medicine Computer Science

Penulis (5)

G. Currie

K. Hawk

E. Rohren

Alanna Vial

R. Klein

Format Sitasi

APA MLA BibTeX

Currie, G., Hawk, K., Rohren, E., Vial, A., Klein, R. (2019). Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.. https://doi.org/10.1016/J.JMIR.2019.09.005

Akses Cepat

Lihat di Sumber doi.org/10.1016/J.JMIR.2019.09.005

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 350×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.JMIR.2019.09.005
Akses: Open Access ✓