1 code implementation • ECCV 2020 • Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis
Deep learning tools in computational pathology, unlike natural vision tasks, face with limited histological tissue labels for classification.
1 code implementation • 27 Jan 2022 • Ryan Zhang, Jiadai Zhu, Stephen Yang, Mahdi S. Hosseini, Angelo Genovese, Lina Chen, Corwyn Rowsell, Savvas Damaskinos, Sonal Varma, Konstantinos N. Plataniotis
In this paper, we take a data-centric approach to the transfer learning problem and examine the existence of generalizable knowledge between histopathological datasets.
1 code implementation • 16 Aug 2021 • Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang
AI technology has made remarkable achievements in computational pathology (CPath), especially with the help of deep neural networks.
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.
1 code implementation • 14 Nov 2018 • Mahdi S. Hosseini, Yueyang Zhang, Lyndon Chan, Konstantinos N. Plataniotis, Jasper A. Z. Brawley-Hayes, Savvas Damaskinos
We also extend our method to generate a local slide-level focus quality heatmap, which can be used for automated slide quality control, and demonstrate the utility of our method for clinical scan quality control by comparison with subjective slide quality scores.