4 citations · 5 across the 2 of their papers we have counts for
5 papers
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…
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…
Evolutionary Projection Selection for Radon Barcodes
Hamid R. Tizhoosh, Shahryar Rahnamayan
Recently, Radon transformation has been used to generate barcodes for tagging medical images. The under-sampled image is projected in certain directions, and each projection is bin…
Learning Opposites with Evolving Rules
Hamid R. Tizhoosh, Shahryar Rahnamayan
The idea of opposition-based learning was introduced 10 years ago. Since then a noteworthy group of researchers has used some notions of oppositeness to improve existing optimizati…