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How many radiographs are needed to re-train a deep learning system for object detection?
Background: Object detection in radiograph computer vision has largely benefited from progress in deep convolutional neural networks and can, for example, annotate a radiograph with a box around a knee joint or intervertebral disc.
Equine radiograph classification using deep convolutional neural networks
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.
A Hitchhiker`s Guide through the Bio-image Analysis Software Universe
Modern research in the life sciences is unthinkable without computational methods for extracting, quantifying and visualizing information derived from biological microscopy imaging data.
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