Explainable deep learning in bloodstain pattern analysis: A pilot study using convolutional neural networks with saliency maps
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The purpose of this pilot study was to explore the feasibility of applying a novel explainable deep learning (XDL) methodology to classify Bloodstain Pattern Analysis (BPA) patterns. A convolutional neural network (CNN) was applied to classify impact and non-i... ...
