Literature DB >> 33049269

Multiclass Artificial Intelligence in Dermatology: Progress but Still Room for Improvement.

Cristian Navarrete-Dechent1, Konstantinos Liopyris2, Michael A Marchetti3.   

Abstract

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Mesh：

Year:  2020        PMID： 33049269      PMCID： PMC9275671          DOI： 10.1016/j.jid.2020.06.040

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN： 0022-202X            Impact factor:   7.590


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  9 in total

1.  Proposed Technical Guidelines for the Acquisition of Clinical Images of Skin-Related Conditions.

Authors:  Anna Finnane; Clara Curiel-Lewandrowski; Glen Wimberley; Liam Caffery; Chinmayee Katragadda; Allan Halpern; Ashfaq A Marghoob; Josep Malvehy; Harald Kittler; Rainer Hofmann-Wellenhof; Ivo Abraham; H Peter Soyer
Journal:  JAMA Dermatol       Date:  2017-05-01       Impact factor: 10.282

2.  Adversarial attacks on medical machine learning.

Authors:  Samuel G Finlayson; John D Bowers; Joichi Ito; Jonathan L Zittrain; Andrew L Beam; Isaac S Kohane
Journal:  Science       Date:  2019-03-22       Impact factor: 47.728

3.  Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

Authors:  Seung Seog Han; Myoung Shin Kim; Woohyung Lim; Gyeong Hun Park; Ilwoo Park; Sung Eun Chang
Journal:  J Invest Dermatol       Date:  2018-02-08       Impact factor: 8.551

4.  Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

Authors:  Seung Seog Han; Ilwoo Park; Sung Eun Chang; Woohyung Lim; Myoung Shin Kim; Gyeong Hun Park; Je Byeong Chae; Chang Hun Huh; Jung-Im Na
Journal:  J Invest Dermatol       Date:  2020-03-31       Impact factor: 8.551

5.  Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network.

Authors:  Seung Seog Han; Ik Jun Moon; Woohyung Lim; In Suck Suh; Sam Yong Lee; Jung-Im Na; Seong Hwan Kim; Sung Eun Chang
Journal:  JAMA Dermatol       Date:  2020-01-01       Impact factor: 10.282

6.  Automated Classification of Skin Lesions: From Pixels to Practice.

Authors:  Akhila Narla; Brett Kuprel; Kavita Sarin; Roberto Novoa; Justin Ko
Journal:  J Invest Dermatol       Date:  2018-10       Impact factor: 8.551

7.  Automated Dermatological Diagnosis: Hype or Reality?

Authors:  Cristian Navarrete-Dechent; Stephen W Dusza; Konstantinos Liopyris; Ashfaq A Marghoob; Allan C Halpern; Michael A Marchetti
Journal:  J Invest Dermatol       Date:  2018-06-01       Impact factor: 8.551

8.  Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition.

Authors:  Julia K Winkler; Christine Fink; Ferdinand Toberer; Alexander Enk; Teresa Deinlein; Rainer Hofmann-Wellenhof; Luc Thomas; Aimilios Lallas; Andreas Blum; Wilhelm Stolz; Holger A Haenssle
Journal:  JAMA Dermatol       Date:  2019-10-01       Impact factor: 10.282

9.  Technique Standards for Skin Lesion Imaging: A Delphi Consensus Statement.

Authors:  Chinmayee Katragadda; Anna Finnane; H Peter Soyer; Ashfaq A Marghoob; Allan Halpern; Josep Malvehy; Harald Kittler; Rainer Hofmann-Wellenhof; Dennis Da Silva; Ivo Abraham; Clara Curiel-Lewandrowski
Journal:  JAMA Dermatol       Date:  2017-02-01       Impact factor: 10.282
  9 in total
  3 in total

Review 1.  Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.

Authors:  Roxana Daneshjou; Mary P Smith; Mary D Sun; Veronica Rotemberg; James Zou
Journal:  JAMA Dermatol       Date:  2021-11-01       Impact factor: 11.816

2.  The degradation of performance of a state-of-the-art skin image classifier when applied to patient-driven internet search.

Authors:  Seung Seog Han; Cristian Navarrete-Dechent; Konstantinos Liopyris; Myoung Shin Kim; Gyeong Hun Park; Sang Seok Woo; Juhyun Park; Jung Won Shin; Bo Ri Kim; Min Jae Kim; Francisca Donoso; Francisco Villanueva; Cristian Ramirez; Sung Eun Chang; Allan Halpern; Seong Hwan Kim; Jung-Im Na
Journal:  Sci Rep       Date:  2022-09-28       Impact factor: 4.996

3.  Augmenting the accuracy of trainee doctors in diagnosing skin lesions suspected of skin neoplasms in a real-world setting: A prospective controlled before-and-after study.

Authors:  Young Jae Kim; Jung-Im Na; Seung Seog Han; Chong Hyun Won; Mi Woo Lee; Jung-Won Shin; Chang-Hun Huh; Sung Eun Chang
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240
  3 in total

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