Literature DB >> 33939786

Deep Learning Approaches Substantially Improve Automated Extraction of Information from Free-Text Medical Reports.

Tiffany Ting Liu1.   

Abstract

Entities:  

Year:  2019        PMID: 33939786      PMCID: PMC8017372          DOI: 10.1148/ryai.2019190118

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN: 2638-6100


× No keyword cloud information.
  3 in total

1.  Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository.

Authors:  Saeed Hassanpour; Curtis P Langlotz
Journal:  J Digit Imaging       Date:  2016-02       Impact factor: 4.056

2.  Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports.

Authors:  John X Qiu; Hong-Jun Yoon; Paul A Fearn; Georgia D Tourassi
Journal:  IEEE J Biomed Health Inform       Date:  2017-05-03       Impact factor: 5.772

3.  Deep Learning to Classify Radiology Free-Text Reports.

Authors:  Matthew C Chen; Robyn L Ball; Lingyao Yang; Nathaniel Moradzadeh; Brian E Chapman; David B Larson; Curtis P Langlotz; Timothy J Amrhein; Matthew P Lungren
Journal:  Radiology       Date:  2017-11-13       Impact factor: 11.105

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.