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Found 6 papers, 0 papers with code
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images
This paper is a comparative study describing the potential of using local binary patterns (LBP), deep features and the bag-of-visual words (BoVW) scheme for the classification of histopathological images.
Classification and Retrieval of Digital Pathology Scans: A New Dataset
In this paper, we introduce a new dataset, \textbf{Kimia Path24}, for image classification and retrieval in digital pathology.
Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections
Our method (Single Projection Radon Barcode, or SP-RBC) uses only a few Radon single projections for each image as global features that can serve as a basis for weak learners.
MinMax Radon Barcodes for Medical Image Retrieval
As well, SURF, as a well-established non-binary approach, and BRISK, as a recent binary method are examined to compare their results with MinMax Radon barcodes when retrieving images from IRMA dataset.
Barcodes for Medical Image Retrieval Using Autoencoded Radon Transform
Using images in a training dataset, we autoencode Radon projections to perform binarization on outputs of hidden layers.
Radon Features and Barcodes for Medical Image Retrieval via SVM
To retrieve similar images when a query image is given, Radon projections and the barcode of the query image are generated.
