Web: http://arxiv.org/abs/2206.11502

June 24, 2022, 1:12 a.m. | Nihal Raju (5), Michael Woodburn (1 and 5), Stefan Kachel (2 and 3), Jack O'Shaughnessy (5), Laurence Sorace (5), Natalie Yang (2), Ruth P Lim (2

cs.CV updates on arXiv.org arxiv.org

Machine learning (ML) is a subfield of Artificial intelligence (AI), and its
applications in radiology are growing at an ever-accelerating rate. The most
studied ML application is the automated interpretation of images. However,
natural language processing (NLP), which can be combined with ML for text
interpretation tasks, also has many potential applications in radiology. One
such application is automation of radiology protocolling, which involves
interpreting a clinical radiology referral and selecting the appropriate
imaging technique. It is an essential task …

applications arxiv cv imaging language language processing learning machine machine learning natural natural language natural language processing processing radiology review

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