Revolutionizing Brain Tumor Segmentation in MRI with Dynamic Fusion of Handcrafted Features and Global Pathway-based Deep Learning-Reference-Cited by-同舟云学术

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Revolutionizing Brain Tumor Segmentation in MRI with Dynamic Fusion of Handcrafted Features and Global Pathway-based Deep Learning

Published:2024-01-31 Issue:1 Volume:18 Page:
ISSN:1976-7277
Container-title:KSII Transactions on Internet and Information Systems
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Short-container-title:KSII TIIS

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Korean Society for Internet Information (KSII)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. G-Net: Implementing an enhanced brain tumor segmentation framework using semantic segmentation design;PLOS ONE;2024-08-06

2. Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50;BMC Medical Imaging;2024-05-11

3. Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering;BMC Medical Informatics and Decision Making;2024-04-30

4. BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture;International Journal of Intelligent Systems;2024-01

5. FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation;IEEE Access;2024

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