Literature DB >> 32427650

Generalizability of Deep Learning Tuberculosis Classifier to COVID-19 Chest Radiographs: New Tricks for an Old Algorithm?

Paul H Yi1,2, Tae Kyung Kim1, Cheng Ting Lin1,2.   

Abstract

Entities:  

Mesh：

Year:  2020        PMID： 32427650     DOI： 10.1097/RTI.0000000000000532

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN： 0883-5993            Impact factor:   3.000


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  12 in total

1.  Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?

Authors:  Tuan D Pham
Journal:  Health Inf Sci Syst       Date:  2020-11-22

2.  X-Ray Equipped with Artificial Intelligence: Changing the COVID-19 Diagnostic Paradigm during the Pandemic.

Authors:  Mustafa Ghaderzadeh; Mehrad Aria; Farkhondeh Asadi
Journal:  Biomed Res Int       Date:  2021-08-22       Impact factor: 3.411

3.  Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.

Authors:  Zaid Abdi Alkareem Alyasseri; Mohammed Azmi Al-Betar; Iyad Abu Doush; Mohammed A Awadallah; Ammar Kamal Abasi; Sharif Naser Makhadmeh; Osama Ahmad Alomari; Karrar Hameed Abdulkareem; Afzan Adam; Robertas Damasevicius; Mazin Abed Mohammed; Raed Abu Zitar
Journal:  Expert Syst       Date:  2021-07-28       Impact factor: 2.812

4.  DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set.

Authors:  Ramsey M Wehbe; Jiayue Sheng; Shinjan Dutta; Siyuan Chai; Amil Dravid; Semih Barutcu; Yunan Wu; Donald R Cantrell; Nicholas Xiao; Bradley D Allen; Gregory A MacNealy; Hatice Savas; Rishi Agrawal; Nishant Parekh; Aggelos K Katsaggelos
Journal:  Radiology       Date:  2020-11-24       Impact factor: 11.105

5.  Deep Learning in the Detection and Diagnosis of COVID-19 Using Radiology Modalities: A Systematic Review.

Authors:  Mustafa Ghaderzadeh; Farkhondeh Asadi
Journal:  J Healthc Eng       Date:  2021-03-15       Impact factor: 2.682

6.  An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.

Authors:  Farah E Shamout; Yiqiu Shen; Nan Wu; Aakash Kaku; Jungkyu Park; Taro Makino; Stanisław Jastrzębski; Jan Witowski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; Narges Razavian; David Kudlowitz; Lea Azour; William Moore; Yvonne W Lui; Yindalon Aphinyanaphongs; Carlos Fernandez-Granda; Krzysztof J Geras
Journal:  NPJ Digit Med       Date:  2021-05-12

7.  COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network.

Authors:  Vasilis Nikolaou; Sebastiano Massaro; Masoud Fakhimi; Lampros Stergioulas; Wolfgang Garn
Journal:  Health Inf Sci Syst       Date:  2021-10-12

Review 8.  Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review.

Authors:  Haseeb Hassan; Zhaoyu Ren; Chengmin Zhou; Muazzam A Khan; Yi Pan; Jian Zhao; Bingding Huang
Journal:  Comput Methods Programs Biomed       Date:  2022-03-05       Impact factor: 7.027

Review 9.  Current Status of Etiology, Epidemiology, Clinical Manifestations and Imagings for COVID-19.

Authors:  Meng Di Jiang; Zi Yue Zu; U Joseph Schoepf; Rock H Savage; Xiao Lei Zhang; Guang Ming Lu; Long Jiang Zhang
Journal:  Korean J Radiol       Date:  2020-08-04       Impact factor: 3.500

10.  Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography.

Authors:  Luís Vinícius de Moura; Christian Mattjie; Caroline Machado Dartora; Rodrigo C Barros; Ana Maria Marques da Silva
Journal:  Front Digit Health       Date:  2022-01-17
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