25 citations · 183 across the 49 of their papers we have counts for
27 papers · 1 filter
A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks
Abubakr Shafique, Ricardo Gonzalez, Liron Pantanowitz +4
Breast cancer is one of the most common cancers affecting women worldwide. They include a group of malignant neoplasms with a variety of biological, clinical, and histopathological…
An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO
Kimia Hemmatirad, Morteza Babaie, Jeffrey Hodgin +2
Context: Analyzing digital pathology images is necessary to draw diagnostic conclusions by investigating tissue patterns and cellular morphology. However, manual evaluation can be…
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology
Pooria Mazaheri, Azam Asilian Bidgoli, Shahryar Rahnamayan +1
Recently, deep learning has started to play an essential role in healthcare applications, including image search in digital pathology. Despite the recent progress in computer visio…
Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'
Milad Sikaroudi, Mehdi Afshari, Abubakr Shafique +2
Chen et al. [Chen2022] recently published the article 'Fast and scalable search of whole-slide images via self-supervised deep learning' in Nature Biomedical Engineering. The autho…
Hospital-Agnostic Image Representation Learning in Digital Pathology
Milad Sikaroudi, Shahryar Rahnamayan, H. R. Tizhoosh
Whole Slide Images (WSIs) in digital pathology are used to diagnose cancer subtypes. The difference in procedures to acquire WSIs at various trial sites gives rise to variability i…
Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification
Amir Safarpoor, Jason D. Hipp, H. R. Tizhoosh
Deep learning methods are widely applied in digital pathology to address clinical challenges such as prognosis and diagnosis. As one of the most recent applications, deep models ha…