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DeustoTech > algorithms

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The aim of MELANOTIC is to develop complex algorithms using advanced image processing techniques for dermoscopic patterns recognition in the skin lesions images. Once the research and development of all the algorithms required to detect all existing patterns has been completed, a system integrating all the algorithms will be developed. This system will help dermatologists to deliver a fast and non-invasive diagnosis. Thus, it will help prevent skin cancer and treat it in its early stages, because patients will be more comfortable when tracking their lesions

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Duration: 2011.0 - 2011.0

Intek,

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TALISMAN

tipo de documento Proyecto

The TALISMAN project aims to research and demonstrate transferrable solutions to society by offering services based on information and communication technologies in order to promote personal autonomy in prevention and monitoring scenarios. The four core objectives of TALISMAN are the following: To analyse and validate emerging multimodal sensing technologies which are reliable for prevention and monitoring in the personal environment. To develop interoperability procedures at a semantic level which ease the effective and efficient convergence of personal autonomy supporting technologies. To obtain resulting personal social and health profiles, based on knowledge, which serve to manage essential and high quality information useful for third parties responsible of providing prevention and monitoring services. To create and evaluate in real scenarios user-oriented secure services provision framework including extensible and interoperable algorithms and software components to provide accessible interaction, both locally and remotely, to all key stakeholders. For further information, please visit the TALISMAN website(http://www.morelab.deusto.es/talisman/).

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This project, ESOFATIC, aims to provide to the laryngectomized associations otolaryngologists, speech pathologist and speech therapists, terminals like PCs with a touch screen or tablets and smarphones for individual use, to measure the progress made throughout the learning process of the esophageal voice. The target population is about 90,000 adults with a small number of women.The objectives of the project are: - Create a database of healthy, pathological and oesophageal voicesSelect accepted voice quality parameters by the scientific community - Develop advanced processing algorithms for accurate measurement of acoustic voice parameters - Improve the learning process of esophageal speech - Involve the group of laryngectomized with new technologies.

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TRIP (Target Recognition using Image Processing) is a vision-based sensor system that uses a combination of 2-D circular barcode tags or ringcodes (see image below), and inexpensive CCD cameras (e.g. web-cams, CCTV cameras or even mobile phone cameras) to identify and locate tagged objects in the cameras’ field of view. Compared with untagged vision-based location systems, the processing demands of TRIP are low. Optimised image processing and computer vision algorithms are applied to obtain, in real-time, the identifier (TRIPcode) and pose (location and orientation) of a target with respect to the viewing camera.

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