Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm.

Sengupta, Jewel; Alzbutas, Robertas; Falkowski-Gilski, Przemyslaw; Falkowska-Gilska, Bozena

Sengupta, Jewel; Alzbutas, Robertas; Falkowski-Gilski, Przemyslaw; Falkowska-Gilska, Bozena.

Afiliación

Sengupta J; Kaunas University of Technology, Kaunas, Lithuania.
Alzbutas R; Kaunas University of Technology, Kaunas, Lithuania.
Falkowski-Gilski P; Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland.
Falkowska-Gilska B; Specialist Diabetes Outpatient Clinic, Olsztyn, Poland.

Front Neurosci ; 17: 1200630, 2023.

Article en En | MEDLINE | ID: mdl-37469843

Palabras clave

Tamura features; bi-directional long short-term memory network; computed tomography; genetic algorithm; gradient local ternary pattern; intracranial hemorrhage detection; region of interest

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: Lituania

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