Virasoft's deep learning-based image analysis, image management system, and all-purpose image viewer facilitates getting more accurate and robust results from a large volume of pathology slides and in multi-site studies. To understand the underlying patterns in histopathological images, our image analysis algorithms produce quantitative data for your research.


Virasoft’s education platforms present best environments for tutors to transfer their pathology knowledge by sharing digital slides with notes and annotations. Experts can create and share digital course content with our web-based or mobile-based education platforms. Students and academics can access digital images and view their course content from mobile devices and computers, wherever they are. Would you like to get information about the remote pathology education application we carried out in Istinye University Faculty of Medicine, Istanbul University Cerrahpasa Faculty of Medicine, Medipol University Faculty of Medicine? Please contact us by filling out the “contact us”.


INSM1 in Medullary Thyroid Carcinoma Evaluation of Expression and Comparison with Clinicopathological Parameters- Department of Pathology, Recep Tayyip Erdogan University School of Medicine (Completed)

Ki-67 Proliferation Index Calculation with a Digital Image Analysis Software and Comparison with Manual Counting Method - Department of Pathology, Cerrahpasa School of Medicine (Completed)

Optimization of Calculation of Ki-67 Proliferation Index in Gastrointestinal Tract Neuroendocrine Neoplasms- Department of Pathology, Ege Unversity Faculty of Medicine (Ongoging)

Comparing HER2 Expression Scores Obtained with Digital Image Analysis with Manually-Calculated FISH Scores of Breast Cancer Samples-Department of Pathology, Ankara City Hospital (Ongoing)

Automated Scoring of HER2 FISH TMA and comparative analysis- Acıbadem Maslak Hospital, Pathology Department (Ongoing)

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