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Dr. Gurcan Published in the Journal of Biomedical Informatics

Dr. Gurcan has a recently published article in the Journal of Biomedical Informatics, January 2017 edition. His paper "Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem" provides a proposal of developing an ontology, the Quantitative Histopathological Imaging Ontology (or QHIO), to represent the imaging data and methods used in the pathological imaging and analysis. The article goes on to describe the application of QHIO to breast cancer hot-spot detection with the goal of enhancing reliability of detection by promoting the sharing of data between image analysts.

 The abstract and full paper may be accessed through the following link: 
https://urldefense.proofpoint.com/v2/url?u=https-3A__authors.elsevier.com_a_1UOrB5SMDQR4xe&d=DwIFaQ&c=k9MF1d71ITtkuJx-PdWme51dKbmfPEvxwt8SFEkBfs4&r=lGNNG0YcIKKxA7URcw6oK0Fx3RC7UeUdVNw1R4D2rtY&m=9eMivap4AaTUwDVS-z7P_7CcZMda9T1yQ50v17OjMPg&s=ysXEoJ-PmvLI4062pMmu8pmXwVBXHko_CbVSwGOW4wI&e=

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