Measurement of Skin Induration Size Using Smartphone Images and Photogrammetric Reconstruction: Pilot Study

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Works citing "Measurement of Skin Induration Size Using Smartphone Images and Photogrammetric Reconstruction: Pilot Study"

Ronald Dendere, Tinashe Mutsvangwa, Rene Goliath, Molebogeng X Rangaka, Ibrahim Abubakar, Tania S Douglas

JMIR Biomed Eng 2017 (Dec 07); 2(1):e3

According to Crossref, the following articles are citing this article (DOI 10.2196/biomedeng.8333):

(note that this is only a small subset of citations)

Naraghi S, Mutsvangwa T, Goliath R, Rangaka MX, Douglas TS. Mobile phone-based evaluation of latent tuberculosis infection: Proof of concept for an integrated image capture and analysis system. Computers in Biology and Medicine 2018;98:76
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Moayedi-Nia S, Barss L, Oxlade O, Valiquette C, Ly M, Campbell JR, Lan Z, Nsengiyumva P, Fregonese F, Lisboa Bastos M, Sampath D, Winters N, Menzies D, Dehority W. The mTST – An mHealth approach for training and quality assurance of tuberculin skin test administration and reading. PLOS ONE 2019;14(4):e0215240
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Ferreira F, Pires IM, Costa M, Ponciano V, Garcia NM, Zdravevski E, Chorbev I, Mihajlov M. A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation. Computers 2021;10(4):43
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Wong YJ, Ng KY, Lee SWH. Digital health use in latent tuberculosis infection care: A systematic review. International Journal of Medical Informatics 2022;159:104687
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Hamada Y, Cirillo DM, Matteelli A, Penn-Nicholson A, Rangaka MX, Ruhwald M. Tests for tuberculosis infection: landscape analysis. European Respiratory Journal 2021;58(5):2100167
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According to Crossref, the following books are citing this article (DOI 10.2196/biomedeng.8333):

Kavya R, Samuel J, Parihar G, Joyce YS, Lazarus Y, Panda S, Christopher J. Intelligent Systems Design and Applications. 2022. Chapter 21:231
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