With the development of acquisition image techniques, more data coming from different sources of image become available. Multi-modality image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single modality. The main aim of this work is to improve cerebral IRM real images segmentation by fusion of modalities (T1, T2 and DP) using Fuz...

The electroencephalogram (EEG) is a standard technique to record and study the brain activity with a high temporal resolution (ms). BOLD fMRI (Blood Oxygenation Level Dependent functional Magnetic Resonance Imaging) is a non-invasive imaging method that allows the localization of activated brain regions with a high spatial resolution (mm). The co-recording of these two complementary modalities ...

Setiap kegiatan motorik memerlukan koordinasi antara mata dan tangan yang baik. Melalui optimalisasi kemampuan akan terjadi peningkatan kognitif anak berguna untuk proses belajarnya. Penelitian ini bertujuan mengetahui pengaruh pemberian metode brain gym terhadap pada pra-sekolah. Sampel terdiri dari 12 anak, perempuan laki - laki, dengan rentang umur 5 sampai 6 tahun. Diberikan latihan Brain G...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

boolean byte class double else extends final finally float if implements int interface long native new private public return short static super synchronized this throw throws transient try void volatile while ( ) [ ] { } ; , . = Figure 1: Java keywords.

Accurate characterization of white-matter lesions from magnetic resonance (MR) images has increasing importance for diagnosis and management of treatment of certain neurological diseases, and can be performed in an objective and effective way by automated lesion segmentation. This usually involves modeling the whole-brain MR intensity distribution, however, capturing various sources of MR inten...