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Automatic skin lesions detection from images through microscopic hybrid features set and machine learning classifiers.
Alyami, Jaber; Rehman, Amjad; Sadad, Tariq; Alruwaythi, Maryam; Saba, Tanzila; Bahaj, Saeed Ali.
Afiliación
  • Alyami J; Department of Diagnostic Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Rehman A; Animal House Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Sadad T; Smart Medical Imaging Research Group, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Alruwaythi M; Artificial Intelligence & Data Analytics Lab, CCIS, Prince Sultan University, Riyadh, Saudi Arabia.
  • Saba T; Department of Computer Science & Software Engineering, International Islamic University, Islamabad, Pakistan.
  • Bahaj SA; Artificial Intelligence & Data Analytics Lab, CCIS, Prince Sultan University, Riyadh, Saudi Arabia.
Microsc Res Tech ; 85(11): 3600-3607, 2022 Nov.
Article en En | MEDLINE | ID: mdl-35876390
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Melanoma / Nevo Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Idioma: En Revista: Microsc Res Tech Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Melanoma / Nevo Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Idioma: En Revista: Microsc Res Tech Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article