Medical image segmentation is a method of extracting the desired parts and features from the input medical image data. The conventional FCM algorithm is an efficient clustering algorithm that is used in medical image segmentation. But FCM is extremely susceptible to noise since it uses intensity values for clustering the image. This paper aims to develop 3-class FCM algorithm with thresholding ...

Background Ferric carboxymaltose (FCM) is a stable, non-dextran-based intravenous iron complex used to treat iron deficiency of various etiologies. As FCM is a nonbiological complex drug and cannot be fully characterized by physicochemical analyses, it is important to demonstrate in nonclinical models that FCM similars (FCMS) have similar biodistribution. Materials and methods A total of 30 n...

BACKGROUND Intravenous (i.v.) iron can improve anaemia of chronic disease and response to erythropoiesis-stimulating agents (ESAs), but data on its use in practice and without ESAs are limited. This study evaluated effectiveness and tolerability of ferric carboxymaltose (FCM) in routine treatment of anaemic cancer patients. PATIENTS AND METHODS Of 639 patients enrolled in 68 haematology/oncol...

This paper presents two robust FCM algorithms to segment the brain tissues from MRI volume. The core regions of human brain are white matter (WM), gray matter (GM), cerebrospinal fluid (CSF) and others known as background (BCK). Usually, to classify the given data, random initial seeds are selected and then the FCM procedure is iterated until the centroids of cluster converge. The first propose...

Flow cytometric DNA-index (DI(FCM)) and karyotype were analysed in 82 consecutive children with acute lymphoblastic leukemia (ALL) during a 10 year period. A statistically significant correlation existed between modal chromosome number and DI(FCM) (p = 0.009). DI(FCM) could reliably identify leukemias with >51 chromosomes, whereas only three out of 12 cases with modal chromosome numbers between...

This prospective study compared diagnostic and prognostic value of conventional cytologic (CC) examination and flow cytometry (FCM) of baseline samples of cerebrospinal fluid (CSF) in 174 patients with newly diagnosed aggressive non-Hodgkin lymphoma (NHL). FCM detected a neoplastic population in the CSF of 18 of 174 patients (10%), CC only in 7 (4%; P < .001); 11 patients (14%) were discordant ...

dendritic cells (dcs) induce pathogen-specific t cell responses. we comprehensively studied the effects of addition of maturation stimulus, fibroblasts (fibroblast conditioned medium), pha activated t cells (t cell conditioned medium), and mixture of fibroblast &amp; pha activated t cells (fcm-tccm) conditioned media on maturation of dcs. monocytes were cultured with gm-csf and il-4 for five da...

Fiber-optics confocal microscopy (FCM) is an emerging imaging technology with various applications in basic research and clinical diagnosis. FCM allows for real-time in situ microscopy of tissue at sub-cellular scale. Recently FCM has been investigated for cardiac imaging, in particular, for discrimination of cardiac tissue during pediatric open-heart surgery. FCM relies on fluorescent dyes. Th...

One of the strategies a company uses to retain its customers is Customer Relationship Management (CRM). CRM manages interactions and supports business build mutually beneficial relationships between companies customers. The utilization information technology, such as data mining used manage data, critical in order be able find out patterns made by when processing transactions. Clustering techni...

Keywords: Cluster analysis Fuzzy clustering Fuzzy c-means (FCM) Initialization Bias correction Probability weight a b s t r a c t Fuzzy clustering is generally an extension of hard clustering and it is based on fuzzy membership partitions. In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the most commonly used clustering method. Numerous studies have presented various generalizations o...