# of Displayed Technologies: 4 / 4

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Virtual image generation of immunohistochemical stained tissue sections using an artificial neural network
TS-039781 — Realistic immunohistochemical stained tissue section databases for training, certification, and machine standards.
Immunohistochemistry (IHC) is used to determine antigen distribution in a tissue and is widely used for diagnosis of cancers and other diseases. Diagnostic and research laboratories in the United States use locally devised IHC tissue slide preparation and scanning protocols to check scanner perfor…
  • College: College of Medicine (COM)
  • Inventors: Gurcan, Metin; Lozanski, Gerard; Senaras, Caglar
  • Licensing Officer: Norris, Francis "Frank"

Automated Detection of Tumor Budding in Colorectal Cancer
TS-039267 — A non-invasive and automated tumor budding image analysis system for colorectal cancer. This program can detect tumor buds in traditional H&E stained sections without the need for manual assessment.
Colorectal cancer is the third most commonly diagnosed cancer in the United States. With a survival rate of less than 65%, early detection and treatment are key factors in survival. Tumor budding, associated with higher tumor stage, lymph node metastasis, and decreased disease-free survival, has e…
  • College: College of Medicine (COM)
  • Inventors: Gurcan, Metin; Ahmad Fauzi, Mohammad Faizal; Chen, Wei "Wei"; Frankel, Wendy
  • Licensing Officer: Norris, Francis "Frank"

Digital Analysis and Lesion Segmentation Software for Tele-Dermatology
TS-038429 — An automated image analysis system for the recognition and quantification of skin disease.
Acne and rosacea are skin diseases that affect around 85% of individuals. There is no gold standard for evaluation of these skin diseases, and their treatment efficacy is generally determined according to a poorly validated counting process by the physician and patient. This process is prone to po…
  • College: College of Medicine (COM)
  • Inventors: Kaffenberger, Benjamin; Gurcan, Metin
  • Licensing Officer: Ezzell, Janel

A Wearable Integrated System of Augmented Reality for Targeted Pathologic Specimen Sampling
TS-037535 — An integrated system to improve the quality of analysis of the resected tumor specimen that provides the pathologist with the latest technological and scientific advancements.
In the field of cancer pathology, the identification and sampling of tumors is essential for both surgical applications and treatment plans for patients that may include post-operative chemotherapy and/or radiation therapy. Currently pathologists and pathologist assistants rely on visual and tacti…
  • College: College of Engineering (COE)
  • Inventors: Yilmaz, Alper; Hall, Nathan; Hitchcock, Charles; Lee, Young Jin; Martin, Edward; Nichols, Shawnn; Ozer, Enver; Povoski, Stephen; Sachire, Jennifer; Xu, Ronald
  • Licensing Officer: Norris, Francis "Frank"

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