MIWAD: A software suite for building CAD methods

Slides from the Symposium "Methods in Breast Cancer Aided Diagnosis" Porto (Portugal)

Transcript

1. MIWAD: A software suite for building CAD methods Speaker: José M. Franco Valiente “METHODS IN BREAST CANCER COMPUTER AIDED DIAGNOSIS” ICEM 15 Porto 27-07-2012
2. Authors CETA-CIEMAT: José M. Franco Valiente, César Suárez Ortega, Manuel Rubio del Solar, Guillermo Díaz Herrero, Raúl Ramos Pollán INEGI-FEUP: Miguel A. Guevara López, Naimy González de Posada, Daniel C. Moura, Pedro Cunha FMUP-HSJ: Isabel M. A. Pereira Ramos, Joana Pinheiro Loureiro, Teresa Cardoso Fernandes, Bruno M. Ferreira de Araújo
3. The Project Imed Exploiting e-Infrastructures for research in breast cancer CAD methods
4. Partners
5. Current Results BCDR: Breast Cancer Digital Repository MIWAD: Mammography Image Workstation for Analysis and Diagnosis MLC: A first set of Machine Learning Classifiers
6. BCDR
7. MIWAD A novel software suite for processing, analyzing and diagnosing mammography Images MIWAD DB + MIWAD CAD
8. MIWAD Storage Layer: DRI
9. MIWAD DB Manages BCDR content Specialists can check clinical data Used as a gateway to store training data Executes MLC classifiers
10. MIWAD DB
11. MIWAD CAD Implements image processing algorithms Creates segmentations to classify Calculates features Based on TUDOR Viewer
12. MIWAD CAD
13. MIWAD Execution Modes Training mode: Used to gather information for the training of the MLCs. Diagnosis mode: Provide users a second opinion for new cases.
14. MIWAD Lesion Workflow
15. Classifiers integration MIWAD Classifiers API
16. Future work Including new pre-processing operations Other image modalities support Enhancing browsing functionalities DICOM importation / exportation Improvement of the Classifiers API
17. Future work MIWAD development is supervised and validated by radiologists from the FMUP-HSJ so the evolution of the software is highly oriented to fit their necessities
18. Demo
19. Demo No demo, sorry 
20. Demo No demo, sorry  But it is REAL!
21. Demo
22. Conclusion MIWAD is used by radiologists to evaluate and classify the cases from BCDR MIWAD is used by researchers to build and evaluate MLCs Third party classifiers can be easily integrated as a plugin
23. Acknowledgements The three institutions express their gratitude for the support of the European Regional Development Fund (FEDER- ERDF)
24. The End Thanks for your attention!
25. The End Thanks for your attention! Any Question?