Literature DB >> 29398499

Why CAD Failed in Mammography.

Ajay Kohli1, Saurabh Jha2.   

Abstract

Mesh：

Year:  2018        PMID： 29398499     DOI： 10.1016/j.jacr.2017.12.029

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN： 1546-1440            Impact factor:   5.532


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  16 in total

1.  Can Contrast-Enhanced Ultrasound Increase or Predict the Success Rate of Testicular Sperm Aspiration in Patients With Azoospermia?

Authors:  Heng Xue; Shou-Yang Wang; Li-Gang Cui; Kai Hong
Journal:  AJR Am J Roentgenol       Date:  2019-02-26       Impact factor: 3.959

Review 2.  Deep learning in breast radiology: current progress and future directions.

Authors:  William C Ou; Dogan Polat; Basak E Dogan
Journal:  Eur Radiol       Date:  2021-01-15       Impact factor: 5.315

3.  Guidance for Interventional Trials Involving Artificial Intelligence.

Authors:  Hugh Harvey; Luke Oakden-Rayner
Journal:  Radiol Artif Intell       Date:  2020-11-25

4.  Quality of screening mammography.

Authors:  James A Dickinson; Roland Grad; Brenda J Wilson; Neil R Bell; Harminder Singh; Guylène Thériault
Journal:  Can Fam Physician       Date:  2019-11       Impact factor: 3.275

Review 5.  AI-based computer-aided diagnosis (AI-CAD): the latest review to read first.

Authors:  Hiroshi Fujita
Journal:  Radiol Phys Technol       Date:  2020-01-02

6.  AI shows promise for breast cancer screening.

Authors:  Etta D Pisano
Journal:  Nature       Date:  2020-01       Impact factor: 49.962

7.  Artificial Intelligence in "Code Stroke"-A Paradigm Shift: Do Radiologists Need to Change Their Practice?

Authors:  Achala Vagal; Luca Saba
Journal:  Radiol Artif Intell       Date:  2022-01-19

Review 8.  The Role of Imaging in Health Screening: Screening for Specific Conditions.

Authors:  David H Ballard; Kirsteen R Burton; Nikita Lakomkin; Shannon Kim; Prabhakar Rajiah; Midhir J Patel; Parisa Mazaheri; Gary J Whitman
Journal:  Acad Radiol       Date:  2020-05-11       Impact factor: 3.173

9.  International evaluation of an AI system for breast cancer screening.

Authors:  Scott Mayer McKinney; Marcin Sieniek; Varun Godbole; Jonathan Godwin; Natasha Antropova; Hutan Ashrafian; Trevor Back; Mary Chesus; Greg S Corrado; Ara Darzi; Mozziyar Etemadi; Florencia Garcia-Vicente; Fiona J Gilbert; Mark Halling-Brown; Demis Hassabis; Sunny Jansen; Alan Karthikesalingam; Christopher J Kelly; Dominic King; Joseph R Ledsam; David Melnick; Hormuz Mostofi; Lily Peng; Joshua Jay Reicher; Bernardino Romera-Paredes; Richard Sidebottom; Mustafa Suleyman; Daniel Tse; Kenneth C Young; Jeffrey De Fauw; Shravya Shetty
Journal:  Nature       Date:  2020-01-01       Impact factor: 49.962

10.  A Novel Fusion-Based Texture Descriptor to Improve the Detection of Architectural Distortion in Digital Mammography.

Authors:  Osmando Pereira Junior; Helder Cesar Rodrigues Oliveira; Carolina Toledo Ferraz; José Hiroki Saito; Marcelo Andrade da Costa Vieira; Adilson Gonzaga
Journal:  J Digit Imaging       Date:  2020-11-11       Impact factor: 4.056
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