SPIE, the US National Cancer Institute (NCI), and the American Association of Physicists in Medicine (AAPM) will hold a “Grand Challenge” on developing quantitative image-analysis methods for the diagnostic classification of malignant and benign lung nodules at SPIE Medical Imaging in February 2015.
Attendees at the Computer-Aided Diagnosis conference at Medical Imaging – as well as scientists throughout the world – will be asked to help create and disseminate advanced quantitative image-analysis systems for diagnosing malignant lung nodules on computed tomography (CT) and improving the quality of computer-aided diagnosis.
Training sets are scheduled to be released 14 November 2014.
The challenge is an initial effort to address the long-term effort to evaluate clinical decision tools.
Having multiple research groups develop, present, and discuss their image analysis methods at SPIE Medical Imaging 2015 is expected to yield advances in computer-aided diagnosis, and ultimately precision medicine.
The Grand Challenge on Lung Nodule Classification is one of the many highlights in store at the symposium 21-26 February in Orlando, FL (USA).
Other conference topics include digital pathology, ultrasonic imaging, image-guided procedures, robotic interventions, the physics of medical imaging, and image processing and archiving.
Presenters are being encouraged to submit their work for the proceedings volume as well as for the new SPIE Journal of Medical Imaging.
SPIE members David Manning of Lancaster University (UK) and Steven C. Horii, of University of Pennsylvania Health System (USA) are symposium chairs for SPIE Medical Imaging.