Automatic Detection of Brain Tumor on Computed Tomography Images for Patients in the Intensive Care Unit.
J Healthc Eng
; 2020: 2483285, 2020.
Article
en En
| MEDLINE
| ID: mdl-32733660
ABSTRACT
Patients in the intensive care unit require fast and efficient handling, including in-diagnosis service. The objectives of this study are to produce a computer-aided system so that it can help radiologists to classify the types of brain tumors suffered by patients quickly and accurately; to build applications that can determine the location of brain tumors from CT scan images; and to get the results of the analysis of the system design. The combination of the zoning algorithm with Learning Vector Quantization can increase the speed of computing and can classify normal and abnormal brains with an average accuracy of 85%.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neoplasias Encefálicas
/
Reconocimiento de Normas Patrones Automatizadas
/
Tomografía Computarizada por Rayos X
/
Diagnóstico por Computador
/
Cuidados Críticos
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
J Healthc Eng
Año:
2020
Tipo del documento:
Article
País de afiliación:
Indonesia