Clinical Image Analysis

Out of more than 1,800 international visiting scholars at the Ohio State University, Dr. Abas of Malaysia and Drs. Goceri and Kus of Turkey were three of thirty-three finalists chosen to present their research at the International Scholar Research Exposition. The exposition recognizes the presence of visiting scholars on campus and their contribution to the university and global community. On November 20,2015, the Opening Reception of the 10 th Annual International Scholar Research Exposition was held for the finalists to present their research.  Their posters will be on display during November and December in Bricker Hall.   Dr. Abas’s poster was titled “Acne Image Analysis: Lesion Localization and Classification.” His research addressed the assessment of acne and used a computer-assisted image analysis approach to generate region-of-interest map for acne lesions as a preliminary step to count the number of lesions within a specific area. This research would grea

Four papers by the Clinical Image Analysis Lab researchers have been accepted to be presented as oral presentations at the SPIE Medical Imaging Symposium to be held in San Diego, CA on 27 February - 3 March 2016.  The first paper, Computer-assisted bladder cancer grading: α-shapes for color space decomposition presents an automatic method to differentiate carcinoma in situ (CIS) from normal/reactive cases from hematoxylin and eosin (H&E) stained images of bladder. This method, which helps with diagnosis of the fifth most commonly diagnosed cancer in the US, determines and compares cell and nuclei characteristics in order to differentiate cancer precursor cells from normal bladder cells. The second  paper, Hotspot Detection in Pancreatic Neuroendocrine Tumors: Density Approximation by α-shape Maps describes the development of an automatic method to detect all potential hotspots in neuroendocrine tumors of the digestive system, which are typically determined manually by