13 citations · 13 across the 3 of their papers we have counts for
3 papers
eess.IV2021
A Similarity Measure of Histopathology Images by Deep Embeddings
Mehdi Afshari, H. R. Tizhoosh
Histopathology digital scans are large-size images that contain valuable information at the pixel level. Content-based comparison of these images is a challenging task. This study…
eess.IV2021★ 13 cited
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…
eess.IV2020
Ink Marker Segmentation in Histopathology Images Using Deep Learning
Danial Maleki, Mehdi Afshari, Morteza Babaie +1
Due to the recent advancements in machine vision, digital pathology has gained significant attention. Histopathology images are distinctly rich in visual information. The tissue gl…