Browsing by Author "Al-Tam, Riyadh Mohammed"
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- Diversifying medical imaging of breast lesionsPublication . Al-Tam, Riyadh Mohammed; Moura, M. M. M.; Figueiredo, Teresa Leonor Isabel Dulce Fiel de VasconcelosBreast cancer is the most frequent cancer in women and remains the main cause of woman mortality, having also registered an increased incidence worldwide. Early detection of breast cancer is of major importance to increase the survival rate. Ultrasound, mammography and magnetic resonance modalities are used to increase the efficiency and accuracy of diagnose. The goal of the work described here is the implementation of a repository of medical images of the breast regardless of origin that can be used by medical doctors, researchers or in a medical faculty, to collect, anonymize, share, annotate and classify. Available standard and tools were used and integrated with the special-purpose ones developed. DICOM, an international standard for medical digital image format and communications protocol, was used. dcm4chee was selected to implement a Picture Archiving and Communication System (PACS) and was integrated within a MySQL server to provide the required functionalities of the data repository. In order to increase the security of the whole system, VPN (IPsec) is used to create a secure channel between the MySQL server and the client solutions. Patient privacy is guaranteed by the deletion of identifiers and use of anonymisation algorithms before upload. Annotation is achieved using the image application FIJI complemented with a modified “DICOM Exporter” class from the Tudor application. Interaction with the repository is facilitated by client side solutions that integrate some tools and extend them by implementing new desired functionalities. These solutions, integrating FJII, connectors to dccm4chee and MySQL and using VPN (IPsec), support the activities of each of the user roles considered, namely, main doctor, hospital doctor, teacher, student, researcher and admin. Testing was done with more than one hundred files uploaded to the repository.
