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The Computer Vision and Image Analysis Group in the School of Electrical and Computer Engineering at Cornell University develops computer vision algorithms for medical, scientific, and industrial applications. Computer vision is the construction of explicit meaningful descriptions of a physical object from images.

The current primary research goal of the group is the development of a medical computer assisted diagnosis (CAD) system. The focus of this research, in collaboration with the Medical Institutions in New York City, is to evaluate patient health and diagnose disease (including cancer) through analysis of three-dimensional images from CT scans.

The Vision and Image Analysis Group is run under the supervision of Anthony P. Reeves. Its members include graduate students, Master's of Engineering students, undergraduates, and visiting scientists, with backgrounds in Electrical and Computer Engineering, Biomedical Engineering, and Mechanical Engineering. Both undergraduate and graduate level courses in computer vision and medical image analysis are offered at Cornell.

The group has developed and maintains research resources to support image analysis research. These include a computer vision software package known as VisionX that is used by this and other research groups, a web-based image management and analysis system SIMBA, and documented image databases that are open for public use.