Detection of Liver Cancer Using Modified Fuzzy Clustering and Decision Tree Classifier in CT Images

Manual detection and characterization of liver cancer using computed tomography (CT) scan images is a challenging task. In this paper, we have presented an automatic approach that integrates the adaptive thresholding and spatial fuzzy clustering approach for detection of cancer region in CT scan ima...

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Vydáno v:	Pattern recognition and image analysis Ročník 29; číslo 2; s. 201 - 211
Hlavní autoři:	Das, Amita, Das, Priti, Panda, S. S., Sabut, Sukanta
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Moscow Pleiades Publishing 01.04.2019 Springer Nature B.V
Témata:	Algorithms Classifiers Clustering Computed tomography Computer Science Decision trees Feature extraction Image detection Image Processing and Computer Vision Image segmentation Lesions Liver Liver cancer Mathematical Method in Pattern Recognition Medical imaging Medical science Multilayer perceptrons Pattern Recognition Sensitivity analysis Similarity coefficient method computed tomography metastatic carcinoma classifier segmentation liver cancer hepatocellular carcinoma
ISSN:	1054-6618, 1555-6212
On-line přístup:	Získat plný text
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