SFFS–SVM based prostate carcinoma diagnosis in DCE-MRI via ACM segmentation

The prostate carcinoma is amongst the most commonly occurring cancers in Taiwanese males. Moreover, it is one of the chief reasons for cancer deaths among Taiwanese men, and early diagnosis of prostate cancer is vital for effective treatment. In this work, a diagnosis model for identifying the prost...

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Vydáno v:	Multidimensional systems and signal processing Ročník 31; číslo 2; s. 689 - 710
Hlavní autoři:	Chang, Chuan-Yu, Srinivasan, Kathiravan, Hu, Hui-Ya, Tsai, Yuh-Shyan, Sharma, Vishal, Agarwal, Punjal
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.04.2020 Springer Nature B.V
Témata:	Accuracy Artificial Intelligence Cancer Circuits and Systems Contrast agents Diagnosis Electrical Engineering Engineering Feature extraction Gadolinium Image segmentation Magnetic resonance imaging Prostate Signal,Image and Speech Processing Support vector machines Sequential forward floating selection Active contour model Prostate carcinoma Dynamic contrast-enhanced MRI Support vector machine
ISSN:	0923-6082, 1573-0824
On-line přístup:	Získat plný text
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