Embedding of Pathology Reports in Pathology Images
Hassan Taghipour *
Department of Pathology, Tabriz University of Medical Sciences, Tabriz, Iran.
Javad Taghipour
Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran.q
Heydar Ali Esmaili
Department of Pathology, Tabriz University of Medical Sciences, Tabriz, Iran.
*Author to whom correspondence should be addressed.
Abstract
A pathology report contains Gross or Macroscopic description, Microscopic description and Diagnosis determined by examining cells and tissues under a microscope. In this paper, we propose a method to embed pathology reports in pathology images. In proposed method, adjacent pixel difference is used to embed data. The proposed algorithm is completely appropriate for pathology images. This algorithm has low computational complexity and high embedding capacity. The proposed method is reversible and the original image is restored after extracting data without any loss. The embedding of pathology reports in pathology images can be used in pathology exams, assessment of pathology residents, self-assessment programs, and constructing pathology archives and databases.
Keywords: Pathology images, pathology reports, data hiding, adjacent pixel difference.