Association of maternal Vitamin D status with glucose tolerance and caesarean section in a multi-ethnic Asian cohort: the growing up in Singapore towards healthy outcomes study

10.1371/journal.pone.0142239PLoS ONE10111-16GUSTO (Growing up towards Healthy Outcomes

Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS)

This paper introduces Set-based Cascading Approach for Medical Image Segmentation (SCAMIS), a new methodology for segmentation of medical imaging by integrating a number of algorithms. Existing approaches typically adopt the pipeline methodology. Although these methods provide promising results, the results generated are still susceptible to over-segmentation and leaking. In our methodology, we describe how set operations can be utilized to better overcome these problems. To evaluate the effectiveness of this approach, Magnetic Resonance Images taken from a teaching hospital research programme have been utilised, are used to reflect the real world quality needed for testing in patient datasets. A comparison between the pipeline and set-based methodology methodologies is also presented

Facile synthesis of water-stable magnetite nanoparticles for clinical MRI and magnetic hyperthermia applications

10.2217/nnm.10.77Nanomedicine5101571-158