Książka Multispectral Co-occurrence Analysis for Medical Image Processing Mehmet Kale

Multispectral Co-occurrence Analysis for Medical Image Processing

Autor: Mehmet Kale
Język: Angielski
Oprawa: Miękka
Wydawca: VDM Verlag
Dostępność: Na zamówienie
Wysyłamy za 17-27 dni
248.34
Presented is a new computer-aided multispectral image processing method which is used in 3 spatial d...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2009
strony
140
EAN
9783639132489
ISBN
3639132483
Enbook ID
06821968
Wydawca
Waga
213
Wymiary
152 x 229 x 8

Pełny opis

Presented is a new computer-aided multispectral image processing method which is used in 3 spatial dimensions and 1 spectral dimension where the dynamic, contrast enhanced magnetic resonance parameter maps derived from voxelwise model-fitting represent the spectral dimension. The method is based on co-occurrence analysis using a 3-dimensional window of observation which introduces an automated identification of suspicious lesions. The co-occurrence analysis defines 21 different statistical features, a subset of which were input to a neural network classifier where the assessments of the voxelwise majority of a group of radiologist readings were used as the gold standard. The voxelwise true positive fraction (TPF) and false positive fraction (FPF) results of the computer classifier were statistically indistinguishable from the TPF and FPF results of the readers using a one sample paired t-test. In order to observe the generality of the method, two different groups of studies were used with widely different image acquisition specifications.

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