Estimation of interlayer textural relationships to discriminate the benignancy/malignancy of brain tumors

A computer-aided diagnosis system is a popular tool to predict the risk factors of brain tumors. However, the existing techniques are unable to provide high detection accuracy due to the inability of capturing the hidden features of brain tumors. In this view, the present work decomposes the MR moda...

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Veröffentlicht in:	Pattern recognition Jg. 144; S. 109879
Hauptverfasser:	Das, Poulomi, Das, Arpita
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2023
Schlagworte:	Advanced PCNN module Classification FCM clustering algorithm Interlayer feature quantifiers NSST based decomposition Interlayer feature quantifiers NSST based decomposition FCM clustering algorithm Advanced PCNN module Classification
ISSN:	0031-3203
Online-Zugang:	Volltext
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