ArticleFrontiers in neuroscience2021
Multimodal Medical Supervised Image Fusion Method by CNN.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Trends in AI-based diagnosis and intervention of metabolic diseases: a bibliometric analysis of the literature from 2000 to 2024.Frontiers in medicine · 2025Pooled it
- MSFusion: Multi-Scale Cross-Modal Fusion with Adaptive Attention for Multimodal Medical Image Fusion.Biosensors · 2026Article
- A comprehensive survey of multi-modality medical image fusion: methods, challenges, and applications.BMC medical imaging · 2026Review
- 3DFE-Net: Three-dimensional fusion enhancement network based on multi-attention mechanism for multi-modal magnetic resonance images.Medical & biological engineering & computing · 2026Article
- A multi-technique ensemble model leveraging attention mechanism and image processing for enhanced colorectal tumor detection.Scientific reports · 2025Article
- An Integrated Deep Learning Model with EfficientNet and ResNet for Accurate Multi-Class Skin Disease Classification.Diagnostics (Basel, Switzerland) · 2025Article
- Multi-Level Feature Fusion in CNN-Based Human Action Recognition: A Case Study on EfficientNet-B7.Journal of imaging · 2024Article
- An Innovative Thermal Imaging Prototype for Precise Breast Cancer Detection: Integrating Compression Techniques and Classification Methods.Bioengineering (Basel, Switzerland) · 2024Article
- MR-CT image fusion method of intracranial tumors based on Res2Net.BMC medical imaging · 2024Article
- An Improved Nested U-Net Network for Fluorescence In Situ Hybridization Cell Image Segmentation.Sensors (Basel, Switzerland) · 2024Article
- Prediction of osteoporosis using MRI and CT scans with unimodal and multimodal deep-learning models.Diagnostic and interventional radiology (Ankara, Turkey) · 2024Article
- MedFusionGAN: multimodal medical image fusion using an unsupervised deep generative adversarial network.BMC medical imaging · 2023Article
- Enhanced multimodal medical image fusion based on Pythagorean fuzzy set: an innovative approach.Scientific reports · 2023Article
- Application of Deep Learning for Prediction of Alzheimer's Disease in PET/MR Imaging.Bioengineering (Basel, Switzerland) · 2023Review
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- Observation of Clinical Efficacy of Anisodamine and Chlorpromazine in the Treatment of Intractable Hiccup after Stroke.BioMed research international · 2022Article
- Decoding Bilateral Hindlimb Kinematics From Cat Spinal Signals Using Three-Dimensional Convolutional Neural Network.Frontiers in neuroscience · 2022Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article proposes a multimode medical image fusion with CNN and supervised learning, in order to solve the problem of practical medical diagnosis. It can implement different types of multimodal medical image fusion problems in batch processing mode and can effectively overcome the problem that traditional fusion problems that can only be solved by single and single image fusion. To a certain extent, it greatly improves the fusion effect, image detail clarity, and time efficiency in a new method. The experimental results indicate that the proposed method exhibits state-of-the-art fusion performance in terms of visual quality and a variety of quantitative evaluation criteria. Its medical diagnostic background is wide.
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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.