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gridmed CETA-CIEMAT Exploiting e-infrastructures for research in breast cancer CAD methods

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breast cancer a serious problem

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1,5 million caused death cases worldwide 0,5 million

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root causes are unknown

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solution?

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early detection

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how to? medical imaging screening tools double reads

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time too much

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resources too much

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CAD systems

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assist clinicians CAD systems

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offer a 2nd opinion CAD systems

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support decisions CAD systems

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use heuristics CAD systems

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Classification Machine Learning

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MLCs are trained with real cases

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cancer digital repository breast

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FMUP-HSJ CETA-CIEMAT INEGI-FEUP collaboration

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+1.600 cases

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MIWAD tools

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MIWAD CAD DB

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Manages patient and study data Used for creating the data for training Executes trained classificators MIWAD CAD DB

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Screening tool Creates segmentations to classify MIWAD CAD DB Calculates features

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and this is real!

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current status ✚ MIWAD tools are being used at HSJ ✚ Doctors are feeding the BCDR ✚ MLCs are being trained with new cases ✚ DICOM-SR import/export is being developed ✚ PACs integration is being designed

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spreading ✚ PhD Improving multilayer perceptron classifiers AUC performance by Raúl Ramos Pollán ✚ Journals ✚ Conferences ✚ Magazines ✚ About Grid and health

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seen on TV!

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diffusion Exchanging Data for Breast Cancer Diagnosis on Heterogeneous Grid Platforms Grid Infrastructures for Developing Mammography CAD Systems Grid Computing for Breast Cancer CAD. A Pilot Experience in a Medical Environment Exploiting E-Infrastructures for Medical Image Storage and Analysis: a GRID Application for Mammography CAD

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demo!

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CETA-CIEMAT acknowledges the support received from the European Regional Development Fund through its operational programme Knowledge-Based Economy

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thanks! questions?