180 research outputs found
Synthetic imaging for research and education in nuclear medicine: Who’s afraid of the black box?
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Artificial intelligence & nuclear medicine: an emerging partnership
This letter addresses a recently published article evaluating the performance of 3D U-Net–based deep learning models for automated lesion segmentation in PET/CT imaging. The study represents a significant advancement in the integration of artificial intelligence (AI) into Nuclear Medicine. By comparing volumetric, MIP-based, and hybrid segmentation approaches using [18F]FDG and [68Ga]Ga-PSMA radiotracers, the authors demonstrate that hybrid models can enhance lesion detection and contouring accuracy. These findings underscore the potential of AI-based segmentation to improve consistency and reduce the manual workload in clinical PET/CT interpretation. We consider this work a pivotal step toward the clinical adoption of AI tools, offering tangible benefits for routine practice and radiomic analysis, while preserving the essential supervisory role of the Nuclear Medicine Physician
L’“etimologia”, la “coscienza linguistica" e quella del linguista (prima parte). A proposito di macularità e circolarità in “Omero”
Il presente lavoro costituisce la replica (in una sua prima parte) a una rassegna di alcuni articoli uscita su una rivista di glottologia ad opera di un autore poi deceduto. Forti delle autorevoli osservazioni messe a disposizione, nella replica si conferma la validità delle tesi sostenute negli articoli oggetto della rassegna stessa.This contribution constitutes the reply (in a first part) to a review of some articles published in a journal of historical linguistics by an author who died shortly thereafter. Strengthened by the authoritative observations made available, in the present reply we confirm the validity of the theses sustained in the articles object of the review itself
A Cloud Architecture for Managing IoT-aware Applications According to Knowledge Processing Rules
The Web of Things paradigm has represented a shift in the conjunction of the Internet of Things (IoT) with people, as it allows treating a smart object as a Web resource. While in a first phase the challenge was the physically management of smart objects, the current demand is to help users in profitably introducing IoT in their own daily life.
The paper presents a software architecture for IoT systems able to manage the behaviour of involved IoT entities basing on knowledge processing tools. The main goal is informing the user of the occurrence of events of interest semantically determined starting from actual state of the environment. The architecture exploits the potentialities of the Web of Topics (WoX) approach, a conceptual model that simplifies the designing of IoT applications. Leveraging the WoX approach, the architecture introduces an innovative way to mine knowledge from IoT devices aside from any technological background, so that facing the intrinsic heterogeneity affecting IoT entities. The discussed architecture is composed by different modules integrated into an Enterprise Service Bus (ESB), strongly decoupled and provided with RESTful-compliant web interfaces to communicate each other and with the external environment, according to a SOA structure. The paper shows how the system is able to receive data coming from sensors and to semantically interpret them by means of a series of business rules that act as knowledge processor
Adjoint bi-continuous semigroups and semigroups on the space of measures
summary:For a given bi-continuous semigroup on a Banach space we define its adjoint on an appropriate closed subspace of the norm dual . Under some abstract conditions this adjoint semigroup is again bi-continuous with respect to the weak topology . We give the following application: For a Polish space we consider operator semigroups on the space of bounded, continuous functions (endowed with the compact-open topology) and on the space of bounded Baire measures (endowed with the weak-topology). We show that bi-continuous semigroups on are precisely those that are adjoints of bi-continuous semigroups on . We also prove that the class of bi-continuous semigroups on with respect to the compact-open topology coincides with the class of equicontinuous semigroups with respect to the strict topology. In general, if is not a Polish space this is not the case
Augmented Reality for Allowing Time Navigation in Cultural Tourism Experiences: A Case Study
In the past few years, mobile phones have become an increasingly at- tractive platform for augmented reality. This paper describes the development of an interactive visualization system based on Augmented Reality Technolo- gies and the integration into a tourist mobile application for Android. The basic idea is to allow the time navigation of cultural points of interest by means of Augmented Reality. The real scene is enhanced by ancient images to increase the cultural experience of the tourist, who can realistically come back in the past
Top-Down Delivery of IoT-based Applications for Seniors Behavior Change Capturing Exploiting a Model-Driven Approach
Developing Internet of Things (IoT) requires expertise and considerable skills in different fields in order to cover all the involved heterogeneous technologies, communication formats and protocols. Developers and experts ask for new solutions that speed up the prototyping of IoT applications. One of these solutions is Web of Topics (WoX) middleware, a model- driven Cloud platform that aims to ease IoT applications developing, introducing a strong semantic abstraction of the IoT concepts. In WoX, almost all the IoT entities and concepts are limited to the concept of Topic, i.e. an entity containing the value of a feature of interest that we intend to detect. The local counterpart of WoX is L-WoX (Local-Web of Topics), which manages local instances of features of interest, allowing mobile applications to collaborate among them, offering and receiving data to/from smart objects, and enabling the communication with WoX Cloud platform. The presented study leverages WoX approach for showing an experience in rapid design and prototyping of an ambient assisted living system that detects the movements of elderly persons in their home, acquiring data through sensors in an unobtrusive way. Moreover, the paper shows that the chosen model-driven solution is very suitable in a top-down approach, starting from users requirements: the created system simplifies the user-centered design of IoT applications, adopting a full top-down approach from user required to the technological solution
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