Fibrillar Collagen Quantification With Curvelet Transform Based Computational Methods.

ABSTRACT: Quantification of fibrillar collagen organization has given new insight into the possible role of collagen topology in many diseases and has also identified candidate image-based bio-markers in breast cancer and pancreatic cancer. We have been developing collagen quantification tools based on the curvelet transform (CT) algorithm and have demonstrated this to be a powerful multiscale image representation method due to its unique features in collagen image denoising and fiber edge enhancement. In this paper, we present our CT-based collagen quantification software platform with a focus on new features and also giving a detailed description of curvelet-based fiber representation. These new features include C++-based code optimization for fast individual fiber tracking, Java-based synthetic f

SUBMITTER: Liu Y 

PROVIDER: S-EPMC7186312 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature