The advent of AI and deep learning in diagnostics and imaging: Machine learning systems have potential to improve diagnostics in healthcare and imaging systems in research
- PMID: 31267716
- PMCID: PMC6607001
- DOI: 10.15252/embr.201948559
The advent of AI and deep learning in diagnostics and imaging: Machine learning systems have potential to improve diagnostics in healthcare and imaging systems in research
Abstract
Machine learning systems are increasingly applied in health care and the life sciences with great potential for cancer diagnostics and optical microscopy.
© 2019 The Author.
References
-
- Mirsky Y, Mahler T, Shelef I, Elovici Y (2019) CT‐GAN: malicious tampering of 3D medical imagery using deep learning. arXiv https://arxiv.org/abs/1901.03597 [PREPRINT]
-
- Cremer C, Masters BR (2013) Resolution enhancement techniques in microscopy. Eur Phys J H 38: 281–344
-
- Rivenson Y, Koydemir HC, Wang H, Wei Z, Ren Z, Günaydın H, Zhang Y, Göröcs Z, Liang K, Tseng D et al (2018) Deep learning enhanced mobile‐phone microscopy. ACS Photonics 5: 2354–2364
-
- Chen PH, Gadepalli K, MacDonald R, Liu Y, Nagpal K, Kohlberger T, Dean J, Corrado GS, Hipp JD, Stumpe MC (2018) Microscope 2.0: an augmented reality microscope with real‐time artificial intelligence integration. arXiv https://arxiv.org/abs/1812.00825 [PREPRINT] - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources
