25 citations · 43 across the 5 of their papers we have counts for
6 papers
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…
MinMax Radon Barcodes for Medical Image Retrieval
H. R. Tizhoosh, Shujin Zhu, Hanson Lo +2
Content-based medical image retrieval can support diagnostic decisions by clinical experts. Examining similar images may provide clues to the expert to remove uncertainties in his/…
Barcodes for Medical Image Retrieval Using Autoencoded Radon Transform
Hamid R. Tizhoosh, Christopher Mitcheltree, Shujin Zhu +1
Using content-based binary codes to tag digital images has emerged as a promising retrieval technology. Recently, Radon barcodes (RBCs) have been introduced as a new binary descrip…
Radon Features and Barcodes for Medical Image Retrieval via SVM
Shujin Zhu, H. R. Tizhoosh
For more than two decades, research has been performed on content-based image retrieval (CBIR). By combining Radon projections and the support vector machines (SVM), a content-base…