Dongmei Guo

TL;DR: Decision fusion of subsets that getting after feature selection obtains excellent prediction performance, which proves feature selection combined with decision fusion is an effective and useful method for the task of HIV-1 protease cleavage site prediction.

TL;DR: Multisequences MRIs are applied and CCTCRF is proposed for triple classification (normal, early, and middle and advanced stage) for cirrhosis, which does not need strong assumptions except the sparse character of image, contains sufficient texture information, includes concise and effective process, and makes case decision with high accuracy.

TL;DR: An automatic method based on the global intensity, the local intensity and the spatial continuity information is presented for reducing IIH of liver MRI and acquires desirable results.

TL;DR: A novel model is proposed for liver segmentation based on the level set method with edge-preserved intensity inhomogeneity correction (EPIICLS), which corrects the intensity inhmogeneity with the minimization of the local entropy.

TL;DR: In this article, a new approach is proposed to detect the unusual data with strong inter-cluster correlation based on the representation matrix obtained from low-rank representation (LRR).