Graph based multi-scale neighboring topology deep learning for kidney and tumor segmentation.

Effective learning and modelling of spatial and semantic relations between image regions in various ranges are critical yet challenging in image segmentation tasks.We propose a novel deep graph reasoning model to learn from multi-order neighborhood topologies for volumetric image segmentation. A graph is first constructed with nodes representing image regions and graph topology to derive spatial dependencies and semantic connections across image regions.

An exploratory study of ageing women's perception on access to health informatics via a mobile phone-based intervention.

Objective: This is an exploratory study examining the perceived attitudes and readiness of women aged 50 years or older on adopting a mobile phone-based intervention named as Infohealth in Singapore.

Method: Infohealth is designed as a health informatics to tailor personalized healthcare advice for the well-being for women - very little is known about the acceptability level of self-care technology, especially the older among the female population. To explore participants' perceptions and acceptance, a telephone survey was developed from concepts identified from various user acceptance theories and models.

A study on Singaporean women's acceptance of using mobile phones to seek health information.

Objective: This paper is an exploratory study that investigates Singaporean women's acceptance of using mobile phones to seek health information.

Method: A mobile web containing health topics was developed to track Singaporean women's actual use of their mobile phones to seek health information. A survey questionnaire measured variables hypothesized to predict Behavioural Intention.