Pathological Brain Detection [electronic resource] / by Shui-Hua Wang, Yu-Dong Zhang, Zhengchao Dong, Preetha Phillips.

Por: Wang, Shui-Hua [author.]Colaborador(es): Zhang, Yu-Dong [author.] | Dong, Zhengchao [author.] | Phillips, Preetha [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Brain Informatics and HealthEditor: Singapore : Springer Singapore : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XXVI, 214 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811040269Tema(s): Optical data processing | Pattern recognition | Radiology | Neuroradiology | Image Processing and Computer Vision | Pattern Recognition | Diagnostic Radiology | NeuroradiologyFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.6 | 006.37 Clasificación LoC:TA1630-1650Recursos en línea: Libro electrónicoTexto
Contenidos:
1 Basics of Pathological Brain Detection (PBD) -- 2 Neuroimaging Modalities: Strengths and Weaknesses -- 3 Image Preprocessing for Pathological Brain Detection: A Summary -- 4 Canonical Feature Extraction Methods for Structural Magnetic Resonance Imaging -- 5 Multi-scale and Multi-resolution Features for Structural Magnetic Resonance Imaging -- 6 Dimensionality Reduction of Brain Image Features -- 7 Classification Methods for Pathological Brain Detection -- 8 Weight Optimization of Classifiers for Pathological Brain Detection -- 9 Comparison of Current PBD Systems.
En: Springer Nature eBookResumen: This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer's detection, multiple sclerosis detection, etc. .
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Acceso multiusuario

1 Basics of Pathological Brain Detection (PBD) -- 2 Neuroimaging Modalities: Strengths and Weaknesses -- 3 Image Preprocessing for Pathological Brain Detection: A Summary -- 4 Canonical Feature Extraction Methods for Structural Magnetic Resonance Imaging -- 5 Multi-scale and Multi-resolution Features for Structural Magnetic Resonance Imaging -- 6 Dimensionality Reduction of Brain Image Features -- 7 Classification Methods for Pathological Brain Detection -- 8 Weight Optimization of Classifiers for Pathological Brain Detection -- 9 Comparison of Current PBD Systems.

This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer's detection, multiple sclerosis detection, etc. .

UABC ; Temporal ; 01/01/2021-12/31/2023.

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