Fuzzy clustering in segmentation of abdominal structures based on CT studies

Wojciech Wiecławek; Ewa Pietka

doi:10.1007/978-3-540-68168-7_9

Fuzzy clustering in segmentation of abdominal structures based on CT studies

Katedra Informatyki Medycznej i Sztucznej Inteligencji (RIB/RIB1)

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Rozdział › recenzja

12 Cytowania z bazy Scopus

Abstrakt

In the current study a modification of the live-wire approach to image segmentation has been developed. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to Computed Tomography (CT) studies. Segmentation of the abdomen structures has been performed in order to evaluate the method.

Język oryginału	angielski
Tytuł publikacji goszczącej	Information Technologies in Biomedicine
Strony	93-104
Liczba stron	12
Identyfikatory DOI	https://doi.org/10.1007/978-3-540-68168-7_9
Status publikacji	Opublikowano - 2008

Seria publikacji

Nazwa	Advances in Soft Computing
Tom	47
ISSN (drukowany)	1615-3871
ISSN (elektroniczny)	1860-0794

Obszary tematyczne ASJC Scopus

Informatyka (różne)
Mechanika obliczeniowa
Zastosowania informatyki

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10.1007/978-3-540-68168-7_9

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Cytowanie

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abstract = "In the current study a modification of the live-wire approach to image segmentation has been developed. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to Computed Tomography (CT) studies. Segmentation of the abdomen structures has been performed in order to evaluate the method.",

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AU - Wiecławek, Wojciech

AU - Pietka, Ewa

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AB - In the current study a modification of the live-wire approach to image segmentation has been developed. A Fuzzy C-Means (FCM) clustering procedure has been implemented before the cost map function is defined. This shrinks the area to be searched resulting in a significant reduction of the computational complexity. The method has been employed to Computed Tomography (CT) studies. Segmentation of the abdomen structures has been performed in order to evaluate the method.

UR - https://www.scopus.com/pages/publications/58149199879

U2 - 10.1007/978-3-540-68168-7_9

DO - 10.1007/978-3-540-68168-7_9

M3 - Chapter

AN - SCOPUS:58149199879

SN - 9783540681670

T3 - Advances in Soft Computing

SP - 93

EP - 104

BT - Information Technologies in Biomedicine

ER -

Fuzzy clustering in segmentation of abdominal structures based on CT studies

Abstrakt

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