mlsanityData to 14 Oct 2026

CHM-Net: Center Heatmap-driven Macro-Micro Modeling Network for MRI-based Microbial Density Stratification

arXiv 2607.09812 ↗First posted 10 Jul 2026eess.IV cs.CV cs.LGcited by 0

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Abstract (arXiv)

Microbial density is clinically important for tumor assessment and treatment decision-making, and recent advances in deep learning suggest that it can be non-invasively inferred from multimodal MRI. In this work, MRI-based Microbial Density Stratification (MRI-MDS) is first investigated as a patient-level representation learning task, and Center Heatmap-driven Macro-micro modeling Network (CHM-Net) is introduced for this task. CHM-Net first establishes the link between imaging phenotypes and microbial states through center heatmap-guided small-lesion response localization. Building upon this, it constructs patient-level macro-micro evidence from localized heatmap responses for microbial density prediction. Experiments on the novel GBNPC 2026 dataset constructed for MRI-MDS demonstrate the effectiveness of CHM-Net, achieving superior performance over representative baselines with a 12.06% absolute ACC gain over the strongest competing result. Additionally, auxiliary validation on two 3D medical image datasets further verifies its robustness across volumetric medical image classification scenarios. The project is available at https://anonymous.4open.science/r/CHM-Net-942E/.

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References · 23

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  4. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  5. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  6. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 12,049
  7. 2016Densely Connected Convolutional Networkscited by 6,720
  8. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
  9. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,718
  10. 20163D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotationcited by 1,476
  11. 2021Video Swin Transformercited by 1,091
  12. 2024VMamba: Visual State Space Modelcited by 969
11 more
  1. 2021UNETR: Transformers for 3D Medical Image Segmentationcited by 959
  2. 2021MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classificationcited by 690
  3. 2020X3D: Expanding Architectures for Efficient Video Recognitioncited by 637
  4. 2017Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?cited by 551
  5. 2019Med3D: Transfer Learning for 3D Medical Image Analysiscited by 288
  6. 2024SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentationcited by 266
  7. 2022Transformers in Medical Imaging: A Surveycited by 245
  8. 2023MedViT: A Robust Vision Transformer for Generalized Medical Image Classificationcited by 89
  9. 20163D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumescited by 43
  10. 2025XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classificationcited by 6
  11. 2025HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentationcited by 2

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