BACKGROUND In thalassemia patients, R2* liver iron concentration (LIC) measurement is a common clinical tool for assessing iron overload and for determining necessary chelator dose and evaluating its efficacy. Despite the importance of accurate LIC measurement, existing methods suffer from LIC variability, especially at the severe iron overload range due to inclusion of vessel parts in LIC calc...

AIM To obtain preliminary safety and efficacy data on intravenous (IV) administration of infliximab (IFX) and ferric carboxymaltose (FCM) to inflammatory bowel disease (IBD) patients in a single treatment session. METHODS A two-phase non-interventional, observational, prospective pilot study was performed to evaluate safety and efficacy of FCM given immediately after IFX. IBD patients were re...

Abstract For text categorization, one kind of FCM, two-level FCM, is proposed. The FCM includes two kinds of nodes that are attribute nodes and class nodes forming two levels, and has the intelligence advantages of structured knowledge representing and numeric matrix inference. The FCM mining method combines mutual information and gradient descent, and considers two stable states in FCM learnin...

The advantages of FCM algorithm are that it is mainly applied in point data cluster and can't directly process relational data, for which the paper proposes a clustering algorithm in data mining based on web log. Firstly, the paper improves FCM algorithm which makes it can process relational data, and makes robustness improvement on the algorithm. Then, the traditional FCM algorithm needs to de...

Fuzzy C-means (FCM) is an unsupervised clustering technique that is often used for the unsuper-vised segmentation of multivariate images. In traditional FCM the clustering is based on spectral information only and the geometrical relationship between neighbouring pixels is not used in the clustering procedure. In this paper, the spatially guided FCM (SG-FCM) algorithm is presented which segment...