ReviewMedical & biological engineering & computing2020
Image fusion using hybrid methods in multimodality medical images.
Review in Medical & biological engineering & computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.Cancer medicine · 2021Trial
- A comprehensive survey of multi-modality medical image fusion: methods, challenges, and applications.BMC medical imaging · 2026Review
- Deep learning for gender estimation using hand radiographs: a comparative evaluation of CNN models.BMC medical imaging · 2025Article
- A novel MRI PET image fusion using shearlet transform and pulse coded neural network.Scientific reports · 2025Article
- TongueNet: a multi-modal fusion and multi-label classification model for traditional Chinese Medicine tongue diagnosis.Frontiers in physiology · 2025Article
- Image fusion for intraoperative evaluation of microwave ablation in non-small cell lung cancer: a retrospective cohort study.Quantitative imaging in medicine and surgery · 2024Article
- A review of deep learning approaches for multimodal image segmentation of liver cancer.Journal of applied clinical medical physics · 2024Review
- Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer.BMC medical informatics and decision making · 2024Article
- Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer.BMC medical imaging · 2024Article
- Prediction ofFrontiers in neurology · 2024Article
- An ensemble deep learning model for medical image fusion with Siamese neural networks and VGG-19.PloS one · 2024Article
- Hippocampal sparing in whole-brain radiotherapy for brain metastases: controversy, technology and the future.Frontiers in oncology · 2024Review
- A Review of EEG-based Localization of Epileptic Seizure Foci: Common Points with Multimodal Fusion of Brain Data.Journal of medical signals and sensors · 2024Review
- A Visualization Method of Knowledge Graphs for the Computation and Comprehension of Ultrasound Reports.Biomimetics (Basel, Switzerland) · 2023Article
- Flexible and broadband colloidal quantum dots photodiode array for pixel-level X-ray to near-infrared image fusion.Nature communications · 2023Article
- [CT and MRI fusion based on generative adversarial network and convolutional neural networks under image enhancement].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- Multimodal Medical Image Fusion Using Stacked Auto-encoder in NSCT Domain.Journal of digital imaging · 2022Article
- Intelligent Labeling of Tumor Lesions Based on Positron Emission Tomography/Computed Tomography.Sensors (Basel, Switzerland) · 2022Article
- Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks.Behavioural neurology · 2022Article
- Effects of CT/MRI Image Fusion on Cerebrovascular Protection, Postoperative Complications, and Limb Functional Recovery in Patients with Anterior and Middle Skull Base Tumors: Based on a Retrospective Cohort Study.Contrast media & molecular imaging · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An image fusion based on multimodal medical images renders a considerable enhancement in the quality of fused images. An effective image fusion technique produces output images by preserving all the viable and prominent information gathered from the source images without any introduction of flaws or unnecessary distortions. This review paper intends to bring out the process of image fusion, its utilization in the medical domain, merits, and demerits and reviews the perspective of multimodal medical image fusion. It also discusses the involvement of various medical entities like medical resonance imaging (MRI), positron emission tomography (PET), and computed tomography (CT). The usefulness of such modalities is presented, suggesting plausible hybrid modality combinations which could greatly enhance image fusion. This review also discusses innovative dispositions in the medical image fusion techniques for the achievement of incisively desired, quality images focused on fusion with wavelet transform and use of independent component analysis (ICA) and principal component analysis (PCA) techniques for the purpose denoising and data dimension reductions. Additionally, the future-prospects of an ideal technique for medical image fusion through the utilization of various medical modalities have been also discussed in this review paper. Graphical abstract.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.