25 citations · 111 across the 22 of their papers we have counts for
5 papers · 1 filter
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks
Brady Kieffer, Morteza Babaie, Shivam Kalra +1
We explore the problem of classification within a medical image data-set based on a feature vector extracted from the deepest layer of pre-trained Convolution Neural Networks. We h…
Local Radon Descriptors for Image Search
Morteza Babaie, H. R. Tizhoosh, Amin Khatami +1
Radon transform and its inverse operation are important techniques in medical imaging tasks. Recently, there has been renewed interest in Radon transform for applications such as c…
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images
Meghana Dinesh Kumar, Morteza Babaie, Shujin Zhu +2
Despite the progress made in the field of medical imaging, it remains a large area of open research, especially due to the variety of imaging modalities and disease-specific charac…
Classification and Retrieval of Digital Pathology Scans: A New Dataset
Morteza Babaie, Shivam Kalra, Aditya Sriram +5
In this paper, we introduce a new dataset, \textbf{Kimia Path24}, for image classification and retrieval in digital pathology. We use the whole scan images of 24 different tissue t…
Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections
Morteza Babaie, H. R. Tizhoosh, Shujin Zhu +1
The idea of Radon barcodes (RBC) has been introduced recently. In this paper, we propose a content-based image retrieval approach for big datasets based on Radon barcodes. Our meth…