This work is concentrated on extraction of mass in Ultrasound breast images in to help doctors interpreting such images efficiently using Computer-Aided Detection. A set of six popular ultrasound machines were selected and images were acquired sweeping: modes of operation, transducer, frequency and contrast. To make a complete set of ultrasound images in B-Mode a multi purpose multi tissue Ultrasound Phantom was used. Gamma corrections, contrast stretching and filtering accompanied by morphological Image Processing were among the steps that were applied to find the final image. Two experienced radiologists were marked output. Statistical analysis showed a sensitivity of 100% and accuracy of 99% for solid mass and 99% and 98% for cystic mass respectively. It also showed that the same procedure can be use for cystic and solid breast masses with small change.

Advances in mobile phone technology help in assessment, education and service provision for the benefit of public health. Mobile health solutions have been successful in transformation of service delivery – especially in resource-poor settings. But challenges arise from “patchwork of incompatible applications serving narrow, albeit valuable, needs”. We assessed available evidence on advantages of mobile devices and applications for the purpose of health improvement, considering a public health perspective. We reviewed the articles published in PubMed, Web of Science, Scopus, and Ovid from 2010 backwards according to their study design, population, objectives and findings. We then classified them according to World Health Organization’s health system building blocks, objectives, and roadmaps. Twenty five out of 43 articles met our inclusion criteria. Research experiences were still passing through their developmental phases and needed much harmonization to health system goals and objectives at large. The subjects that had been experienced in addition to the study designs varied widely. A substantial lack of higher-level evidence existed, especially in the form of well-designed trials. It is the responsibility of healthcare researchers to advocate for better study types and also a requirement for experts from information technology enterprise to get more insight into the nature of health system when planning a research on mobile health.