A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics
Background and objectives Over the past two decades, medical imaging has been
extensively apply to diagnose diseases. Medical experts continue to have difficulties for …
extensively apply to diagnose diseases. Medical experts continue to have difficulties for …
Medical image fusion: A survey of the state of the art
AP James, BV Dasarathy - Information fusion, 2014 - Elsevier
Medical image fusion is the process of registering and combining multiple images from
single or multiple imaging modalities to improve the imaging quality and reduce …
single or multiple imaging modalities to improve the imaging quality and reduce …
Image fusion techniques: a survey
The necessity of image fusion is growing in recently in image processing applications due to
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
An overview of multi-modal medical image fusion
J Du, W Li, K Lu, B Xiao - Neurocomputing, 2016 - Elsevier
Multi-modal medical image fusion is the process of merging multiple images from single or
multiple imaging modalities to improve the imaging quality with preserving the specific …
multiple imaging modalities to improve the imaging quality with preserving the specific …
Performance comparison of different multi-resolution transforms for image fusion
S Li, B Yang, J Hu - Information Fusion, 2011 - Elsevier
Image fusion combines information from multiple images of the same scene to get a
composite image that is more suitable for human visual perception or further image …
composite image that is more suitable for human visual perception or further image …
Fusion of multimodal medical images using Daubechies complex wavelet transform–A multiresolution approach
Multimodal medical image fusion is an important task for the retrieval of complementary
information from medical images. Shift sensitivity, lack of phase information and poor …
information from medical images. Shift sensitivity, lack of phase information and poor …
Union Laplacian pyramid with multiple features for medical image fusion
J Du, W Li, B Xiao, Q Nawaz - Neurocomputing, 2016 - Elsevier
The Laplacian pyramid has been widely used for decomposing images into multiple scales.
However, the Laplacian pyramid is believed as being unable to represent outline and …
However, the Laplacian pyramid is believed as being unable to represent outline and …
Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation
Single-modality medical images generally do not contain enough information to reach an
accurate and reliable diagnosis. For this reason, physicians commonly rely on multimodal …
accurate and reliable diagnosis. For this reason, physicians commonly rely on multimodal …
Gesenet: A general semantic-guided network with couple mask ensemble for medical image fusion
At present, multimodal medical image fusion technology has become an essential means for
researchers and doctors to predict diseases and study pathology. Nevertheless, how to …
researchers and doctors to predict diseases and study pathology. Nevertheless, how to …
Fast curvelet transform through genetic algorithm for multimodal medical image fusion
Currently, medical imaging modalities produce different types of medical images to help
doctors to diagnose illnesses or injuries. Each modality of images has its specific intensity …
doctors to diagnose illnesses or injuries. Each modality of images has its specific intensity …