Literature DB >> 33937814

Magician's Corner: 4. Image Segmentation with U-Net.

Bradley J Erickson1, Jason Cai1.   

Abstract

A popular deep learning framework (Keras) is applied to the problem of image segmentation using a U-Net. 2020 by the Radiological Society of North America, Inc.

Year:  2020        PMID： 33937814      PMCID： PMC8074997          DOI： 10.1148/ryai.2020190161

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


  4 in total

1.  Metrology Standards for Quantitative Imaging Biomarkers.

Authors:  Daniel C Sullivan; Nancy A Obuchowski; Larry G Kessler; David L Raunig; Constantine Gatsonis; Erich P Huang; Marina Kondratovich; Lisa M McShane; Anthony P Reeves; Daniel P Barboriak; Alexander R Guimaraes; Richard L Wahl
Journal:  Radiology       Date:  2015-08-12       Impact factor: 11.105

2.  [Not Available].

Authors:  R SØRENSEN
Journal:  Nord Med       Date:  1948-12-17

3.  Image segmentation: methods and applications in diagnostic radiology and nuclear medicine.

Authors:  P Suetens; E Bellon; D Vandermeulen; M Smet; G Marchal; J Nuyts; L Mortelmans
Journal:  Eur J Radiol       Date:  1993-06       Impact factor: 3.528

4.  Automated medical image segmentation techniques.

Authors:  Neeraj Sharma; Lalit M Aggarwal
Journal:  J Med Phys       Date:  2010-01
  4 in total
  2 in total

1.  Natural Language Processing of Radiology Text Reports: Interactive Text Classification.

Authors:  Walter F Wiggins; Felipe Kitamura; Igor Santos; Luciano M Prevedello
Journal:  Radiol Artif Intell       Date:  2021-05-12

2.  A deep learning approach for detecting liver cirrhosis from volatolomic analysis of exhaled breath.

Authors:  Mikolaj Wieczorek; Alexander Weston; Matthew Ledenko; Jonathan Nelson Thomas; Rickey Carter; Tushar Patel
Journal:  Front Med (Lausanne)       Date:  2022-09-29
  2 in total

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