13 citations · 17 across the 5 of their papers we have counts for
4 papers · 1 filter
HistoKT: Cross Knowledge Transfer in Computational Pathology
Ryan Zhang, Jiadai Zhu, Stephen Yang +7
The lack of well-annotated datasets in computational pathology (CPath) obstructs the application of deep learning techniques for classifying medical images. %Since pathologist time…
Fine-Tuning and Training of DenseNet for Histopathology Image Representation Using TCGA Diagnostic Slides
Abtin Riasatian, Morteza Babaie, Danial Maleki +19
Feature vectors provided by pre-trained deep artificial neural networks have become a dominant source for image representation in recent literature. Their contribution to the perfo…
Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence
Shivam Kalra, H. R. Tizhoosh, Sultaan Shah +8
The emergence of digital pathology has opened new horizons for histopathology and cytology. Artificial-intelligence algorithms are able to operate on digitized slides to assist pat…
Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology
Mahdi S. Hosseini, Yueyang Zhang, Lyndon Chan +3
One of the challenges facing the adoption of digital pathology workflows for clinical use is the need for automated quality control. As the scanners sometimes determine focus inacc…