4 citations · 7 across the 3 of their papers we have counts for
3 papers
How many radiographs are needed to re-train a deep learning system for object detection?
Raniere Silva, Khizar Hayat, Christopher M Riggs +1
Background: Object detection in radiograph computer vision has largely benefited from progress in deep convolutional neural networks and can, for example, annotate a radiograph wit…
Equine radiograph classification using deep convolutional neural networks
Raniere Gaia Costa da Silva, Ambika Prasad Mishra, Christopher Riggs +1
Purpose: To assess the capability of deep convolutional neural networks to classify anatomical location and projection from a series of 48 standard views of racehorse limbs. Materi…
A Hitchhiker`s Guide through the Bio-image Analysis Software Universe
Robert Haase, Elnaz Fazeli, David Legland +7
Modern research in the life sciences is unthinkable without computational methods for extracting, quantifying and visualizing information derived from biological microscopy imaging…