Deep Neural Network for Early Image Diagnosis of Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis-Reference-Cited by-同舟云学术

Deep Neural Network for Early Image Diagnosis of Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis

Published:2022-01 Issue:1 Volume:10 Page:277-283
ISSN:2213-2198
Container-title:The Journal of Allergy and Clinical Immunology: In Practice
language:en
Short-container-title:The Journal of Allergy and Clinical Immunology: In Practice

Author:

Fujimoto Atsushi,Iwai Yuki,Ishikawa Takashi,Shinkuma Satoru,Shido Kosuke,Yamasaki Kenshi,Fujisawa Yasuhiro,Fujimoto Manabu,Muramatsu Shogo,Abe Riichiro

Funder

Universita degli Studi del Piemonte Orientale Amedeo Avogadro

Japan Agency for Medical Research and Development

Publisher

Elsevier BV

Subject

Immunology and Allergy

Reference14 articles.

1. Stevens-Johnson syndrome and toxic epidermal necrolysis: associations, outcomes, and pathobiology–thirty years of progress but still much to be done;Stern;J Invest Dermatol,2017

2. SJS/TEN 2017: building multidisciplinary networks to drive science and translation;White;J Allergy Clin Immunol Pract,2018

3. Increased soluble Fas ligand levels in patients with Stevens-Johnson syndrome and toxic epidermal necrolysis preceding skin detachment;Murata;J Allergy Clin Immunol,2008

4. Granulysin as a marker for early diagnosis of the Stevens-Johnson syndrome;Abe;Ann Intern Med,2009

5. Rapid immunochromatographic test for serum granulysin is useful for the prediction of Stevens-Johnson syndrome and toxic epidermal necrolysis;Fujita;J Am Acad Dermatol,2011

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