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

Multispectral Co-occurrence Analysis for Medical Image Processing

Szerző: Mehmet Kale
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: VDM Verlag
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
20 365 Ft
Presented is a new computer-aided multispectral image processing method which is used in 3 spatial d...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2009
oldal
140
EAN
9783639132489
ISBN
3639132483
Enbook ID
06821968
Kiadó
Súly
213
Méretek
152 x 229 x 8

Teljes leírás

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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