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Journal of Imaging, Volume 11, Issue 10
October 2025 - 47 articles
Cover Story: This study presents a hierarchical deep learning approach for classifying skeletal abnormalities in mice using multi-view X-ray images. By comparing convolutional autoencoders and ConvNeXt architectures, the research demonstrates how multi-level feature extraction enhances model performance and interpretability. The results highlight the potential of modern computer vision methods to advance high-throughput phenotyping and preclinical image analysis. View this paper
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J. Imaging - ISSN 2313-433XCreative Common CC BY license