Detecting Eczema Areas in Digital Images: An Impossible Task?-Reference-Cited by-同舟云学术

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Detecting Eczema Areas in Digital Images: An Impossible Task?

Published:2022-09 Issue:5 Volume:2 Page:100133
ISSN:2667-0267
Container-title:JID Innovations
language:en
Short-container-title:JID Innovations

Author:

Hurault Guillem^ORCID,Pan Kevin^ORCID,Mokhtari Ricardo^ORCID,Olabi Bayanne^ORCID,Earp Eleanor^ORCID,Steele Lloyd^ORCID,Williams Hywel C.^ORCID,Tanaka Reiko J.^ORCID

Publisher

Elsevier BV

Subject

General Medicine

Reference17 articles.

1. Automatic detection and severity measurement of eczema using image processing;Alam;Annu Int Conf IEEE Eng Med Biol Soc,2016

2. Automated severity scoring of atopic dermatitis patients by a deep neural network;Bang;Sci Rep,2021

3. Six Area, six Sign Atopic Dermatitis (SASSAD) seventy score: a simple system for monitoring disease activity in atopic dermatitis;Berth-Jones;Br J Dermatol Suppl,1996

4. Measurement of body surface area involvement in atopic eczema: an impossible task?;Charman;Br J Dermatol,1999

5. Opportunities and obstacles for deep learning in biology and medicine;Ching;J R Soc Interface,2018

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Remote Assessment of Eczema Severity via AI-powered Skin Image Analytics: A Systematic Review;Artificial Intelligence in Medicine;2024-10

2. Reliable Detection of Eczema Areas for Fully Automated Assessment of Eczema Severity from Digital Camera Images;JID Innovations;2023-09

3. Development of High-Quality Artificial Intelligence in Dermatology: Guidelines, Pitfalls, and Potential;JID Innovations;2022-11

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