Literature DB >> 34350415

Promise and Potential Pitfalls: Re-creating Images or Generating New Images for AI Modeling.

Heang-Ping Chan1.   

Abstract

Year:  2021        PMID： 34350415      PMCID： PMC8328104          DOI： 10.1148/ryai.2021210102

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


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  5 in total

1.  Adaptive Augmentation of Medical Data Using Independently Conditional Variational Auto-Encoders.

Authors:  Mehran Pesteie; Purang Abolmaesumi; Robert N Rohling
Journal:  IEEE Trans Med Imaging       Date:  2019-05-06       Impact factor: 10.048

2.  Differential Data Augmentation Techniques for Medical Imaging Classification Tasks.

Authors:  Zeshan Hussain; Francisco Gimenez; Darvin Yi; Daniel Rubin
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

Review 3.  Deep learning in medical imaging and radiation therapy.

Authors:  Berkman Sahiner; Aria Pezeshk; Lubomir M Hadjiiski; Xiaosong Wang; Karen Drukker; Kenny H Cha; Ronald M Summers; Maryellen L Giger
Journal:  Med Phys       Date:  2018-11-20       Impact factor: 4.071

4.  Generative adversarial network in medical imaging: A review.

Authors:  Xin Yi; Ekta Walia; Paul Babyn
Journal:  Med Image Anal       Date:  2019-08-31       Impact factor: 8.545

Review 5.  CAD and AI for breast cancer-recent development and challenges.

Authors:  Heang-Ping Chan; Ravi K Samala; Lubomir M Hadjiiski
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039
  5 in total

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