Medical image fusion papers and code compilation based on deep learning

Medical image fusion papers and code compilation based on deep learning

First, attach a mind map of recent papers on image fusion based on deep learning.

This blog mainly compiles papers and codes on medical image fusion based on deep learning

The image fusion blog series also includes:

1. For the most comprehensive collection of image fusion papers and codes, see: The most comprehensive collection of image fusion papers and codes
2. For the collection of image fusion review papers, see: Collection of image fusion review papers
3. For image fusion evaluation indicators, see: Infrared and visible light image fusion evaluation indicators
4. For the organization of commonly used data sets for image fusion, see: Organization of commonly used data sets for image fusion.
5. General image fusion framework papers and code arrangement see: General image fusion framework papers and code arrangement
6. Infrared and visible light image fusion papers and code collection based on deep learning see: Infrared and visible light image fusion papers and code collection based on deep learning
7. For more detailed infrared and visible light image fusion codes, see: Infrared and visible light image fusion papers and code collection
8. Multi-exposure image fusion papers and code compilation based on deep learning see: Multi-exposure image fusion papers and code compilation based on deep learning
9. Multi-focus image fusion papers and code collection based on deep learning see: Multi-focus Image Fusion papers and code collection based on deep learning
10. Pan-color image sharpening papers and codes based on deep learning, see: Pan-color image sharpening papers and codes based on deep learning (Pansharpening)
11. For color image fusion, see: Color Image Fusion
12. SeAFusion: The first image fusion framework that combines high-level vision tasks. See: SeAFusion: The first image fusion framework that combines high-level vision tasks.

Medical image fusion framework based on convolutional neural network

1. A medical image fusion method based on convolutional neural networks [CNN(ICIF 2017)] [Paper]

2. Zero-Learning Fast Medical Image Fusion [Zero-LMF(ICIF 2019)] [Paper] [Code]

3. A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion [D2LE (TIP 2019)] [Paper]

4. EMFusion: An unsupervised enhanced medical image fusion network [EMFusion(IF 2021)] [Paper] [Code]

5. Searching a Hierarchically Aggregated Fusion Architecture for Fast Multi-Modality Image Fusion [HAF(ACM MM 2021)] [Paper] [Code]

6. Green Fluorescent Protein and Phase Contrast Image Fusion Via Detail Preserving Cross Network [DPCN-Fusion(TCI 2021)] [Paper] [Code]

7. A multiscale residual pyramid attention network for medical image fusion [MSRPAN(BSPC 2021)] [Paper] [Code]

Medical image fusion framework based on generative adversarial network

1. Image fusion based on generative adversarial network consistent with perception [DDcGAN(TIP 2020)] [Paper] [Code]

2. MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network [MGMDcGAN(Access 2020)] [Paper] [Code]

3. Medical image fusion method based on dense block and deep convolutional generative adversarial network [DCGAN(NCAA 2021)] [Paper]

4. Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks [GFPPC-GAN(CMMM 2019)] [Paper]

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