2018
AI for medical imaging goes deep
Abstract
An artificial intelligence (AI) using a deep-learning approach can classify retinal images from optical coherence tomography for early diagnosis of retinal diseases and has the potential to be used in other image-based medical diagnoses.
Citation
article: Ting_2018 doi: 10.1038/s41591-018-0029-3 url: https://doi.org/10.1038/s41591-018-0029-3 year: 2018 month: may publisher: Springer Nature volume: 24 number: 5 pages: 539--540 author: Ting Daniel S. W. and Liu Yong and Burlina Philippe and Xu Xinxing and Bressler Neil M. and Wong Tien Y. title: AI for medical imaging goes deep journal: Nature Medicine
Citation
article: Ting_2018 doi: 10.1038/s41591-018-0029-3 url: https://doi.org/10.1038/s41591-018-0029-3 year: 2018 month: may publisher: Springer Nature volume: 24 number: 5 pages: 539--540 author: Ting Daniel S. W. and Liu Yong and Burlina Philippe and Xu Xinxing and Bressler Neil M. and Wong Tien Y. title: AI for medical imaging goes deep journal: Nature Medicine