… for a multi-modal approach to image retrieval. One of the … , a multi-modal medical image
retrieval approach that incorporates both visual and textual features for improved image retrieval …

… In the multi-modal approaches the combination of visual and textual information is obtained
… of multi-modal information when applying relevance feedback to medical image retrieval. An …

… retrieval task, our MMDL framework (Image-MMDL) performs comparably to the standard
approach of learning features with DenseNet121 (Image-… our proposed multimodal approach …

… Objective of our present study is to analyse the automated medical image retrieval system …
Materials and methods In this paper, we present an automated medical image retrieval system …

… learning results in CBIR and other applications we have proposed deep learning framework
for efficient medical image retrieval for large collection of multimodal medical image dataset. …

… , which show low performance for a massive collection of multimodal databases. Although
… -based retrieval system of the multimodal medical images from various types of imaging …

… cross-modal hashing methods ignore underlying manifold … model for adaptive-modal
medical image retrieval. The multi-… model for cross-modal medical image retrieval in detail. The …

… multimodal methods combine medical images from various modalities to make a new fused
image … We present a review of multimodal medical imaging modalities by overcoming all the …

… indicate that for medical image retrieval the use of … medical image retrieval. However several
studies made use of deep learning techniques in a retrieval framework for extracting image …

… approach is based on first classifying medical images using a convolutional neural network
(CNN), the results of which are utilized for supporting content-based medical image retrieval. …