This classification scheme allows to differentiate between normal mucosa and hyperplastic lesions, adenomas (a pre-malignant condition), and malignant cancer based on the visual pattern of the mucosal surface. The removal of hyperplastic polyps is unnecessary and the removal of malignant polyps maybe hazardous.
This work introduces texture analysis methods that are based on computing the local fractal dimension (LFD; or also called the local density function) and ...
By extending the differential box-counting approach to five-dimensional Euclidean hyper-space, this paper presents a new robust and simple algorithm to ...
This work introduces texture analysis methods that are based on computing the local fractal dimension (LFD; or also called the local density function) and ...
(2015). Local Fractal Dimension based approaches for Colonic Polyp Classification. Medical Image Analysis. Wimmer, Georg ; Tamaki, Toru ; Tanaka, Shinji et al.
This work proposes a new method for computing the local fractal dimension for the classification of colonic polyps. First an image is segmented by an ...
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This work introduces texture analysis methods that are based on computing the local fractal dimension (LFD; or also called the local density function) and ...
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The proposed model can detect and classify colorectal polyps from the colonoscopy images with 92% accuracy.
Local Fractal Dimension based approaches for Colonic Polyp Classification. Medical Image Analysis, 2015. This work introduces texture analysis methods that ...
This work proposes a filter bank based texture analysis method and applies it for the classification of colonic polyps and shows that it clearly outperforms ...