no code implementations • 15 Feb 2021 • Sobhan Shafiei, Morteza Babaie, Shivam Kalra, H. R. Tizhoosh
The Kimia Path24 dataset has been introduced as a classification and retrieval dataset for digital pathology.
1 code implementation • 10 May 2020 • Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, H. R. Tizhoosh
In this work, we explored the performance of a deep neural network and triplet loss in the area of representation learning.
1 code implementation • 5 Apr 2020 • Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, H. R. Tizhoosh, Fakhri Karray, Mark Crowley
The FDT and FDC loss functions are designed based on the statistical formulation of the Fisher Discriminant Analysis (FDA), which is a linear subspace learning method.
Classification Of Breast Cancer Histology Images Dimensionality Reduction +3
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.