no code implementations • 14 Jan 2024 • H. R. Tizhoosh, Liron Pantanowitz
Pathology images of histopathology can be acquired from camera-mounted microscopes or whole slide scanners.
no code implementations • 22 Aug 2023 • Abubakr Shafique, Ricardo Gonzalez, Liron Pantanowitz, Puay Hoon Tan, Alberto Machado, Ian A Cree, Hamid R. Tizhoosh
Searchable digital atlases can provide pathologists with patch matching tools allowing them to search among evidently diagnosed and treated archival cases, a technology that may be regarded as computational second opinion.
1 code implementation • 25 Jul 2023 • Kimia Hemmatirad, Morteza Babaie, Jeffrey Hodgin, Liron Pantanowitz, H. R. Tizhoosh
Conclusions: Automated glomeruli detection in human kidney images is possible using modern AI models.
no code implementations • 2 Feb 2023 • Mohammad Shifat E Rabbi, Natasha Ironside, John A Ozolek, Rajendra Singh, Liron Pantanowitz, Gustavo K Rohde
We demonstrate the model is robust to different staining patterns and imaging protocols, and can be used to discover meaningful and interpretable information within and across datasets and cancer types.
no code implementations • 20 Nov 2019 • Shivam Kalra, H. R. Tizhoosh, Sultaan Shah, Charles Choi, Savvas Damaskinos, Amir Safarpoor, Sobhan Shafiei, Morteza Babaie, Phedias Diamandis, Clinton JV Campbell, Liron Pantanowitz
The emergence of digital pathology has opened new horizons for histopathology and cytology.
no code implementations • 30 Jun 2015 • Ali R. N. Avanaki, Kathryn S. Espig, Sameer Sawhney, Liron Pantanowitz, Anil V. Parwani, Albert Xthona, Tom R. L. Kimpe
The effect of display aging using these display models and images is further analyzed through a human reader study designed to quantify the effects from a clinical perspective.