Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations. (arXiv:2201.03597v1 [cs.CV])

In tissue characterization and cancer diagnostics, multimodal imaging has
emerged as a powerful technique. Thanks to computational advances, large
datasets can be exploited to improve diagnosis and discover patterns in
pathologies. However, this requires efficient and scalable image retrieval
methods. Cross-modality image retrieval is particularly demanding, as images of
the same content captured in different modalities may display little common
information. We propose a content-based image retrieval system (CBIR) for
reverse (sub-)image search to retrieve microscopy images in one modality …

arxiv cv multimodal