1.

Record Nr.

UNISA990000229850203316

Autore

Seminar on dynamical system <1991 ; St. Petersburg>

Titolo

Seminar on dynamical systems / editors S. Kuksin ... [et al.]

Pubbl/distr/stampa

Basel [etc.] : Birkhäuser, copyr. 1994

ISBN

3-7643-2980-7

Descrizione fisica

IX, 290 p. : ill. ; 24 cm

Collana

Progress in nonlinear differentialequations and their applications ; 12

Disciplina

530132

Collocazione

530.132 SEM

514.74 SEM

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

contiene gli atti di un convegno tenuto a st. petersburg nel 1991



2.

Record Nr.

UNINA9910299309803321

Autore

Wang Shui-Hua

Titolo

Pathological Brain Detection / / by Shui-Hua Wang, Yu-Dong Zhang, Zhengchao Dong, Preetha Phillips

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018

ISBN

981-10-4026-5

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XXVI, 214 p.)

Collana

Brain Informatics and Health, , 2367-1742

Disciplina

006.6

006.37

Soggetti

Optical data processing

Pattern perception

Radiology

Nervous system - Radiography

Image Processing and Computer Vision

Pattern Recognition

Diagnostic Radiology

Neuroradiology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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. .