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Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms.
Qin, Zhi Zhen; Ahmed, Shahriar; Sarker, Mohammad Shahnewaz; Paul, Kishor; Adel, Ahammad Shafiq Sikder; Naheyan, Tasneem; Barrett, Rachael; Banu, Sayera; Creswell, Jacob.
Afiliación
  • Qin ZZ; Stop TB Partnership, Geneva, Switzerland. Electronic address: zhizhenq@stoptb.org.
  • Ahmed S; International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
  • Sarker MS; International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
  • Paul K; International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
  • Adel ASS; International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
  • Naheyan T; Stop TB Partnership, Geneva, Switzerland.
  • Barrett R; Stop TB Partnership, Geneva, Switzerland.
  • Banu S; International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
  • Creswell J; Stop TB Partnership, Geneva, Switzerland.
Lancet Digit Health ; 3(9): e543-e554, 2021 09.
Article en En | MEDLINE | ID: mdl-34446265
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tuberculosis Pulmonar / Algoritmos / Inteligencia Artificial / Interpretación de Imagen Radiográfica Asistida por Computador Tipo de estudio: Diagnostic_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Lancet Digit Health Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tuberculosis Pulmonar / Algoritmos / Inteligencia Artificial / Interpretación de Imagen Radiográfica Asistida por Computador Tipo de estudio: Diagnostic_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Lancet Digit Health Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido