Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data

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An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification (2017, background): “, research literature and clinical manuals) provide new opportunities to use massive image data to derive computerised tools for image-based diagnosis, teaching, and biomedical research [1].”
Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval (2017, methodology): “CBMIR requires expressive data representations for knowledge discovery and similar image identiﬁcation in massive medical image databases, and has been explored by different algorithmic approaches [Kumar et al., 2013, Müller et al., 2004].”
Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy (2016, background): “Some modules of CBMIR architecture are also present in most of CAD definitions [27, 17].”