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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

O - Ostatní výsledky

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

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