160 citations · 607 across the 73 of their papers we have counts for
11 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…
Fast Barcode Retrieval for Consensus Contouring
H. R. Tizhoosh, G. J. Czarnota
Marking tumors and organs is a challenging task suffering from both inter- and intra-observer variability. The literature quantifies observer variability by generating consensus am…
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…
Skin Lesion Segmentation: U-Nets versus Clustering
Bill S. Lin, Kevin Michael, Shivam Kalra +1
Many automatic skin lesion diagnosis systems use segmentation as a preprocessing step to diagnose skin conditions because skin lesion shape, border irregularity, and size can influ…
Learning Autoencoded Radon Projections
Aditya Sriram, Shivam Kalra, H. R. Tizhoosh +1
Autoencoders have been recently used for encoding medical images. In this study, we design and validate a new framework for retrieving medical images by classifying Radon projectio…
Combining Real-Valued and Binary Gabor-Radon Features for Classification and Search in Medical Imaging Archives
Hamed Erfankhah, Mehran Yazdi, H. R. Tizhoosh
Content-based image retrieval (CBIR) of medical images in large datasets to identify similar images when a query image is given can be very useful in improving the diagnostic decis…
Opposition based Ensemble Micro Differential Evolution
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
Differential evolution (DE) algorithm with a small population size is called Micro-DE (MDE). A small population size decreases the computational complexity but also reduces the exp…
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…
Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer
Mehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu +3
Recent advances in using quantitative ultrasound (QUS) methods have provided a promising framework to non-invasively and inexpensively monitor or predict the effectiveness of thera…
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…