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Mission

The Center of Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University is involved in various different aspects of developing, evaluating and applying novel quantitative image analysis, computer vision, signal processing, segmentation, multi-modal co-registration tools, pattern recognition, and machine learning tools for disease diagnosis, prognosis, and theragnosis in the context of breast, prostate, head and neck, and brain tumors as well as epilepsy and carotid plaque. Our group is also exploring the utility of these methods in studying correlations of disease markers across multiple scales, modalities, and functionalities -- from gene and protein expression to spectroscopy to digital pathology and to multi-parametric MRI.

 


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Latest News:

Wed, 2019-12-04 12:01

Radiology, Pathology and Genomics Working Together for Better Cancer Diagnosis and Care

Integrated diagnostics can provide a wide variety of potential benefits to patients facing cancer. It can also give radiologists the opportunity to become more involved in clinical decision support beyond imaging. Speakers addressed the current and future state of integrated diagnostics at Tuesday's RSNA/AAPM (American Association of Physicists in Medicine) symposium.

Mon, 2019-12-02 11:44

Anant Madabhushi, the F. Alex Nason Professor II of Biomedical Engineering and director of the Center for Computational Imaging and Personalized Diagnostics, received the 2019 RadXX Advocate Award. This award recognizes men and women who have helped support and further the advancement of women in imaging informatics.

Thu, 2019-11-28 11:41

This Radiology Today article explores how integrated diagnostics promises to improve diagnosis and treatment and highlights the work of Anant Madabhushi, the F. Alex Nason Professor II of Biomedical Engineering and director of the Center for Computational Imaging and Personalized Diagnostics. This topic will be a spotlight at the conference RSNA 2019.

Sun, 2019-11-17 13:15

How predictive analytics is impacting patient care

Health Tech: Anant Madabhushi, the F. Alex Nason Professor II of Biomedical Engineering, weighed in on how pathologists can use predictive analytics for cancer care to address some challenges.