This paper presents an automated clustering-based method for fibrosis detection and CPA computation. Initially, a k-means based approach is employed to detect ...
This paper introduces an automated clustering-based method for the segmentation of liver biopsy images. User interference is not required for the detection of ...
Collagen Proportional Area (CPA) extraction using digital image analysis (DIA) in liver biopsies provides an effective way to estimate the liver disease ...
In current work a novel modification of K-means clustering is proposed for image segmentation of liver biopsies. More specifically, supervised restriction of ...
Methodology for collagen proportional area extraction from liver biopsy images. ... The methodology is based on clustering and classification algorithms ...
A methodology for automated CPA extraction using liver biopsy image ...
pubmed.ncbi.nlm.nih.gov › ...
Background and objective: Collagen proportional area (CPA) extraction in liver biopsy images provides the degree of fibrosis expansion in liver tissue, which is ...
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Tissue/background separation is performed using a clustering algorithm, instead of manual threshold setting widely used in the literature [2,7–12], while region ...
Dec 27, 2019 · Briefly, it provides a fully automated image analysis of liver biopsy specimens to extract the collagen proportional area (CPA) (Figure 2). This ...
A clustering based method for collagen proportional area extraction in liver biopsy images. Proc. IEEE Eng. Med. Biol. Soc. Annu. Conf. 2015, 2015, 3097 ...