A Survey of Different Types of Characterization Technique In Ultra Sonograms of the Thyroid Nodules | Zendy

Nikita Singh | Zendy; Alka Jindal | Zendy

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A Survey of Different Types of Characterization Technique In Ultra Sonograms of the Thyroid Nodules

Author(s) -

Nikita Singh,

Alka Jindal

Publication year - 2012

Publication title -

international journal of computer science and informatics

Language(s) - English

Resource type - Journals

ISSN - 2231-5292

DOI - 10.47893/ijcsi.2012.1080

Subject(s) - thyroid , thyroid nodules , nodule (geology) , characterization (materials science) , computer science , feature extraction , endocrine system , texture (cosmology) , artificial intelligence , feature (linguistics) , pattern recognition (psychology) , medicine , biology , image (mathematics) , hormone , materials science , paleontology , linguistics , philosophy , nanotechnology

Thyroid is one of the endocrine Gland. Thyroid can be classified into normal, nodule and cancers thyroid. The characterization of the thyroid tissue in digital image processing techniques offer's the texture description and using the ultrasound images. In this paper describe the various type of feature extraction techniques characterization and classification method. The texture characterization in medical images plays an important role as it helps into characterized the type of images, directions and extracting the features. This survey focuses on three types of characterization technique and methods that classify the thyroid nodule medical imaging. Result shows that comparatively analysis of these characterization techniques

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