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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Veröffentlicht in:	Pattern recognition and image analysis 2019-04, Vol.29 (2), p.201-211
Hauptverfasser:	Das, Amita, Das, Priti, Panda, S. S., Sabut, Sukanta
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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