0000000000204292
AUTHOR
D. Peri
Three-dimensional geometrical models of the liver.
In this work we used a virtual approach to study the human liver by three-dimensional geometrical models. We built the models through computer aided geometric modelling techniques starting from pictures taken during both real dissections and diagnostic medical imaging. The results show in a complete modular synthesis and with a schematic iconology the structural organization of this organ in a logic sequence of layers and topographic and spatial relationship among its components. This approach represents an amazing support to clinical anatomy for teaching and research.
Testing wearable IoT applications through sensor virtualization
The development of distributed IoT applications requires the integration of data provided by different sensors embedded in multiple devices. As an example, an application for health monitoring in an assisted living scenario may include several wearable and fixed nodes each carrying different sensors and running specific code. Verifying that the application is properly working according to the specifications requires assessing that the code of each node behaves consistently in all the possible use cases. Tests involving sensor data may be difficult or costly to replicate realistically and this could also slow down the development of the application in its early stages. In this paper we intro…
Three-dimensional geometrical models of the inguinal region. Towards a new stereology.
In this work we studied the inguinal-abdominal region and the inguinal canal using three-dimensional geometrical models. We built the models through computer aided geometric modeling techniques on the basis of observations during real dissections, operations and diagnostic medical imaging. The obtained models show in a complete modular synthesis and with a schematic iconology the structural organization of the anatomical districts in a logic sequence of layers and topographic and spatial relationships among its components. The models represent an amazing support to anatomy and clinical anatomy for teaching and research purposes on organogenesis, surgery and diagnosis.
An intelligent assistant for medical knowledge discovery
Nowadays the availability of a huge amount of raw medical data makes it possible to use suitable data mining techniques to produce new knowledge. Usually, only data mining experts are able enough to carry out such tasks, and not so many researchers in medical ¯eld are also skilled in data analysis. This paper describes the Medical Knowledge Discovery Assistant (MKDA), a web based framework able to advice a medical researcher in such tasks. MKDA plans a Knowledge Discovery Process (KDP) on the basis of the requests of the user and of a set of rules in a knowledge base. The requests of the user are related to accu- racy, computational load, type of the produced model. They de¯ne the goal to b…