mlsanityData to 7 Oct 2026

Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis

arXiv 2406.18548 ↗First posted 23 May 2024eess.IV cs.CVcited by 10

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Abstract (arXiv)

The diagnosis of brain cancer relies heavily on medical imaging techniques, with MRI being the most commonly used. It is necessary to perform automatic segmentation of brain tumors on MRI images. This project intends to build an MRI algorithm based on U-Net. The residual network and the module used to enhance the context information are combined, and the void space convolution pooling pyramid is added to the network for processing. The brain glioma MRI image dataset provided by cancer imaging archives was experimentally verified. A multi-scale segmentation method based on a weighted least squares filter was used to complete the 3D reconstruction of brain tumors. Thus, the accuracy of three-dimensional reconstruction is further improved. Experiments show that the local texture features obtained by the proposed algorithm are similar to those obtained by laser scanning. The algorithm is improved by using the U-Net method and an accuracy of 0.9851 is obtained. This approach significantly enhances the precision of image segmentation and boosts the efficiency of image classification.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 19 of its 33 references that are in the map. First posted on arXiv 23 May 2024.

Builds on

19 of 33 references.

References · 19

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7 more
  1. 2024Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysiscited by 21
  2. 2023Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updatescited by 20
  3. 2019Constrained Attractor Selection Using Deep Reinforcement Learningcited by 17
  4. 2021Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNNcited by 16
  5. 2024Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classificationcited by 16
  6. 2020Attractor Selection in Nonlinear Energy Harvesting Using Deep Reinforcement Learningcited by 15
  7. 2024Infrared Image Super-Resolution via Lightweight Information Split Networkcited by 10

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Cited by year

Citing papers per year: 2024: 10.

10 papers.

  1. 2024Attention Mechanism and Context Modeling System for Text Mining Machine Translationcited by 15
  2. 2024Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visitscited by 12
  3. 2024A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Imagescited by 11
  4. 2024Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessmentcited by 11
  5. 2024Text classification optimization algorithm based on graph neural networkcited by 8
  6. 2024Convolutional Neural Networks for Predictive Modeling of Lung Diseasecited by 7
  7. 2024Reducing Bias in Deep Learning Optimization: The RSGDM Approachcited by 7
  8. 2024Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processingcited by 7
  9. 2024Stock Type Prediction Model Based on Hierarchical Graph Neural Networkcited by 5
  10. 2024Multiscale Latent Diffusion Model for Enhanced Feature Extraction from Medical Imagescited by 0