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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, 2019-10-09 17:09

Nature Reviews Clinical Oncology published an editorial on CCIPD's recent paper on AI in Digital Pathology, which was published by the same. Read the editorial here.

Wed, 2019-10-09 17:03

CCIPD Director Anant Madabhushi was quoted in the HealthTech Magazine article, "How predictive analytics is Impacting Patient Care": Artificial Intelligence can play a role in alleviating challenges related to cancer care. Read more here.

Mon, 2019-09-16 10:00

Ahead of his presentation at the 6th Digital Pathology and AI Congress: Europe, Andrew Janowczyk spoke with Global Engage about his work creating scalable data analysis techniques to facilitate cancer research through the development of open-source Digital Pathology tools. Janowczyk is Assistant Research Professor in Biomedical Engineering and the Center of Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University. Read the interview...

Thu, 2019-09-12 20:52

Patent US 10,398,399 entitled "Decision support for disease characterization and treatment response with disease and peri-disease radiomics" issued to the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University and collaborators from University Hospitals.

The invention describes the methods, apparatus, and other embodiments associated with classifying a region of tissue using textural analysis are described. One example apparatus includes an, a delineation logic that distinguishes nodule tissue within the image from the...

Fri, 2019-08-30 18:07

Anant Madabhushi, PhD, the F. Alex Nason Professor II of Biomedical Engineering and Director of the Center for Computational Imaging and Personalized Diagnostics, has been named to The Pathologist's Power List 2019. This list highlights the 100 most inspiring professionals in the many fields of pathology and laboratory medicine.

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