Development of algorithms for automated detection of cervical pre-cancers with a low-cost, point-of-care, Pocket Colposcope

GOAL: In this work, we propose methods for (1) automatic feature extraction and classification for acetic acid and Lugol’s iodine cervigrams and (2) methods for combining features/diagnosis of different contrasts in cervigrams for improved performance. METHODS: We developed algorithms to pre-process...

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Detalhes bibliográficos
Publicado no:IEEE Trans Biomed Eng
Main Authors: Nyamewaa Asiedu, Mercy, Simhal, Anish, Chaudhary, Usamah, Mueller, Jenna L., Lam, Christopher T., Schmitt, John W., Venegas, Gino, Sapiro, Guillermo, Ramanujam, Nimmi
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6581620/
https://ncbi.nlm.nih.gov/pubmed/30575526
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2018.2887208
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