AI for medical imaging goes deep

Affiliations

¹ Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore. daniel.ting.s.w@singhealth.com.sg.
² Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. daniel.ting.s.w@singhealth.com.sg.
³ Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
⁴ Applied Physics Laboratory, Johns Hopkins University, Baltimore, MD, USA.
⁵ Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD, USA.
⁶ Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.

Daniel S W Ting et al. Nat Med. 2018 May.

. 2018 May;24(5):539-540.

doi: 10.1038/s41591-018-0029-3.

¹ Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore. daniel.ting.s.w@singhealth.com.sg.
² Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. daniel.ting.s.w@singhealth.com.sg.
³ Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
⁴ Applied Physics Laboratory, Johns Hopkins University, Baltimore, MD, USA.
⁵ Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD, USA.
⁶ Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.

No abstract available

References