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Purpose of this work is the development of an automatic system which could be useful for radiologists in the investigation of breast cancer. A breast neoplasia is often marked by the presence of microcalcifications and massive lesions in…

The use of an automatic system for the analysis of mammographic images has proven to be very useful to radiologists in the investigation of breast cancer, especially in the framework of mammographic-screening programs. A breast neoplasia is…

The next generation of High Energy Physics (HEP) experiments requires a GRID approach to a distributed computing system and the associated data management: the key concept is the Virtual Organisation (VO), a group of distributed users with…

The next generation of High Energy Physics experiments requires a GRID approach to a distributed computing system and the associated data management: the key concept is the "Virtual Organisation" (VO), a group of geographycally distributed…

The CALMA (Computer Assisted Library for MAmmography) project is a five years plan developed in a physics research frame in collaboration between INFN (Istituto Nazionale di Fisica Nucleare) and many Italian hospitals. At present a large…

Medical Physics · Physics 2009-11-10 A. Lauria , R. Palmiero , G. Forni , P. Cerello , B. Golosio , F. Fauci , R. Magro , G. Raso , S. Tangaro , P. L. Indovina

Breast cancer as a medical condition and mammograms as images exhibit many dimensions of variability across the population. Similarly, the way diagnostic systems are used and maintained by clinicians varies between imaging centres and…

Software Engineering · Computer Science 2007-05-23 S. Roberto Amendolia , Michael Brady , Richard McClatchey , Miguel Mulet-Parada , Mohammed Odeh , Tony Solomonides

The MammoGrid project aims to prove that Grid infrastructures can be used for collaborative clinical analysis of database-resident but geographically distributed medical images. This requires: a) the provision of a clinician-facing…

A breast neoplasia is often marked by the presence of microcalcifications and massive lesions in the mammogram: hence the need for tools able to recognize such lesions at an early stage. Our collaboration, among italian physicists and…

A computer-aided detection (CADe) system for microcalcification cluster identification in mammograms has been developed in the framework of the EU-founded MammoGrid project. The CADe software is mainly based on wavelet transforms and…

Medical Physics · Physics 2007-05-23 A. Retico , P. Delogu , M. E. Fantacci , A. Preite Martinez , A. Stefanini , A. Tata

The MammoGrid project aims to deliver a prototype which enables the effective collaboration between radiologists using grid, service-orientation and database solutions. The grid technologies and service-based database management solution…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Florida Estrella , Richard McClatchey , Dmitry Rogulin

The purpose of this study is the evaluation of the variation of performance in terms of sensitivity and specificity of two radiologists with different experience in mammography, with and without the assistance of two different CAD systems.…

A computer-aided detection (CADe) system for microcalcification cluster identification in mammograms has been developed in the framework of the EU-founded MammoGrid project. The CADe software is mainly based on wavelet transforms and…

Medical Physics · Physics 2016-11-18 P. Delogu , M. E. Fantacci , A. Preite Martinez , A. Retico , A. Stefanini , A. Tata

The storage and manipulation of digital images and the analysis of the information held in those images are essential requirements for next-generation medical information systems. The medical community has been exploring collaborative…

Databases · Computer Science 2007-05-23 D Rogulin , F Estrella , T Hauer , R McClatchey , T Solomonides

Grid-based technologies are emerging as a potential open-source standards-based solution for managing and collabo-rating distributed resources. In view of these new computing solutions, the Mammogrid project is developing a service-based…

Databases · Computer Science 2007-05-23 Florida Estrella , Richard McClatchey , Dmitry Rogulina , Roberto Amendolia , Tony Solomonides

Computer aided diagnosis (CAD) of Breast Cancer (BRCA) images has been an active area of research in recent years. The main goals of this research is to develop reliable automatic methods for detecting and diagnosing different types of BRCA…

Image and Video Processing · Electrical Eng. & Systems 2020-03-20 Marco A. V. M. Grinet , Nuno M. Garcia , Ana I. R. Gouveia , Jose A. F. Moutinho , Abel J. P. Gomes

Mammography, or breast X-ray, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe or CADx) tools have been…

Image and Video Processing · Electrical Eng. & Systems 2023-03-20 Hieu T. Nguyen , Ha Q. Nguyen , Hieu H. Pham , Khanh Lam , Linh T. Le , Minh Dao , Van Vu

This paper presents an overview of the MammoGrid project and some of its achievements. In terms of the global grid project, and European research in particular, the project has successfully demonstrated the capacity of a grid-based system…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 R. H. McClatchey , D. Manset , A. E. Solomonides

Mammography is the most commonly used imaging modality for breast cancer screening, driving an increasing demand for deep-learning techniques to support large-scale analysis. However, the development of accurate and robust methods is often…

Image and Video Processing · Electrical Eng. & Systems 2025-07-28 Xin Li , Kaixiang Yang , Qiang Li , Zhiwei Wang

Mammography remains the most prevalent imaging tool for early breast cancer screening. The language used to describe abnormalities in mammographic reports is based on the breast Imaging Reporting and Data System (BI-RADS). Assigning a…

Image and Video Processing · Electrical Eng. & Systems 2020-05-12 Said Boumaraf , Xiabi Liu , Chokri Ferkous , Xiaohong Ma

Breast cancer is the most common cancer and is the leading cause of cancer death among women worldwide. Detection of breast cancer, while it is still small and confined to the breast, provides the best chance of effective treatment.…

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