Development of a Wavelet-assisted Edge-detection Algorithm for Boundary Detection of Fine Needle Aspiration Images of Thyroid Nodules

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A00109924" target="_blank" >RIV/68407700:21230/05:00109924 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Development of a Wavelet-assisted Edge-detection Algorithm for Boundary Detection of Fine Needle Aspiration Images of Thyroid Nodules

Original language description

Computer assisted microscopy of thyroid nodules is a new emerging field of research aiming to enhance the accuracy and correctness of diagnosis. Microscopic examination of thyroid diseases is of major significance since ultrasounds scans on their own cannot provide reliable diagnosis. The most important structure of thyroid microscopic image is the cell nucleus, making accurate nuclei segmentation of crucial importance. The purpose of this study was to develop an efficient and accurate boundary detection algorithm for nuclei segmentation of Fine Needle Aspiration cytological images of thyroid nodules, with minimum operator intervention.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2005

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů