Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques.

Maheshwari, Shishir; Kanhangad, Vivek; Pachori, Ram Bilas; Bhandary, Sulatha V; Acharya, U Rajendra

Maheshwari, Shishir; Kanhangad, Vivek; Pachori, Ram Bilas; Bhandary, Sulatha V; Acharya, U Rajendra.

Afiliación

Maheshwari S; Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, 453552, India. Electronic address: phd1501102003@iiti.ac.in.
Kanhangad V; Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, 453552, India.
Pachori RB; Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, 453552, India.
Bhandary SV; Department of Ophthalmology, Kasturba Medical College, Manipal, 576104, India.
Acharya UR; Department of Electronics and Communication Engineering, Ngee Ann Polytechnic, 599489, Singapore; Department of Biomedical Engineering, School of Science and Technology, SUSS University, 599491, Singapore; School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, 47500, Subang

Comput Biol Med ; 105: 72-80, 2019 02.

Article en En | MEDLINE | ID: mdl-30590290

Asunto(s)

Fondo de Ojo; Glaucoma/diagnóstico por imagen; Interpretación de Imagen Asistida por Computador; Máquina de Vectores de Soporte; Humanos

Palabras clave

Bit-plane slicing; Decision level fusion; Glaucoma; Local binary pattern; Support vector machine

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Glaucoma / Máquina de Vectores de Soporte / Fondo de Ojo Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

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