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Chang et al., 2011 - Google Patents
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Chang et al., 2011 - Google Patents

A neural network for thyroid segmentation and volume estimation in CT images

Chang et al., 2011

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Document ID
217955299649843399
Author
Chang C
Hong Y
Tseng C
et al.
Publication year
Publication venue
IEEE Computational Intelligence Magazine

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Snippet

Thyroid region segmentation and volume estimation is a prerequisite step to diagnosing the pathology of the thyroid gland. In this study, a progressive learning vector quantization neural network (PLVQNN) combined with a preprocessing procedure is proposed for …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G06T7/0014—Biomedical image inspection using an image reference approach
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    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
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    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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