We Care Each Pixel: Calibrating on Medical Segmentation Model
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Wenhao, Zhang, Wei, Yue, Lin, Xu, Miao, Maennel, Olaf, Chen, Weitong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
by: Zou, Ke, et al.
Published: (2023)
by: Zou, Ke, et al.
Published: (2023)
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
by: Li, Liu, et al.
Published: (2024)
by: Li, Liu, et al.
Published: (2024)
Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning
by: Rukundo, Olivier
Published: (2023)
by: Rukundo, Olivier
Published: (2023)
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
by: Ma, Chao, et al.
Published: (2024)
by: Ma, Chao, et al.
Published: (2024)
EFCNet: Every Feature Counts for Small Medical Object Segmentation
by: Kong, Lingjie, et al.
Published: (2024)
by: Kong, Lingjie, et al.
Published: (2024)
Susceptibility of Adversarial Attack on Medical Image Segmentation Models
by: Wang, Zhongxuan, et al.
Published: (2024)
by: Wang, Zhongxuan, et al.
Published: (2024)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation
by: Zhang, Mingya, et al.
Published: (2024)
by: Zhang, Mingya, et al.
Published: (2024)
HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
by: Xu, Qing, et al.
Published: (2025)
by: Xu, Qing, et al.
Published: (2025)
Pixel-wise Modulated Dice Loss for Medical Image Segmentation
by: Hosseini, Seyed Mohsen
Published: (2025)
by: Hosseini, Seyed Mohsen
Published: (2025)
Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)
by: Ma, Jun, et al.
Published: (2023)
Autoadaptive Medical Segment Anything Model
by: Ward, Tyler, et al.
Published: (2025)
by: Ward, Tyler, et al.
Published: (2025)
RoWSFormer: A Robust Watermarking Framework with Swin Transformer for Enhanced Geometric Attack Resilience
by: Chen, Weitong, et al.
Published: (2024)
by: Chen, Weitong, et al.
Published: (2024)
Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2025)
by: Lin, Yi, et al.
Published: (2025)
Vision-Language Controlled Deep Unfolding for Joint Medical Image Restoration and Segmentation
by: Chen, Ping, et al.
Published: (2026)
by: Chen, Ping, et al.
Published: (2026)
Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations
by: Özer, Caner, et al.
Published: (2025)
by: Özer, Caner, et al.
Published: (2025)
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2023)
by: Lin, Yi, et al.
Published: (2023)
GMISeg: General Medical Image Segmentation without Re-Training
by: Xu, Jing
Published: (2023)
by: Xu, Jing
Published: (2023)
Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)
by: Bao, Rina, et al.
Published: (2024)
One-Prompt to Segment All Medical Images
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study
by: Xu, Guoping, et al.
Published: (2026)
by: Xu, Guoping, et al.
Published: (2026)
Optimizing Medical Image Segmentation with Advanced Decoder Design
by: Yang, Weibin, et al.
Published: (2024)
by: Yang, Weibin, et al.
Published: (2024)
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
by: Zhang, Yichi, et al.
Published: (2024)
by: Zhang, Yichi, et al.
Published: (2024)
Generative Medical Segmentation
by: Huo, Jiayu, et al.
Published: (2024)
by: Huo, Jiayu, et al.
Published: (2024)
Structure Unbiased Adversarial Model for Medical Image Segmentation
by: Zhang, Tianyang, et al.
Published: (2022)
by: Zhang, Tianyang, et al.
Published: (2022)
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models
by: Malik, Hashmat Shadab, et al.
Published: (2024)
by: Malik, Hashmat Shadab, et al.
Published: (2024)
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation
by: Yao, Zhenyan, et al.
Published: (2025)
by: Yao, Zhenyan, et al.
Published: (2025)
SliceMamba with Neural Architecture Search for Medical Image Segmentation
by: Fan, Chao, et al.
Published: (2024)
by: Fan, Chao, et al.
Published: (2024)
Med-TTT: Vision Test-Time Training model for Medical Image Segmentation
by: Xu, Jiashu
Published: (2024)
by: Xu, Jiashu
Published: (2024)
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation
by: Xu, Jiashu
Published: (2024)
by: Xu, Jiashu
Published: (2024)
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation
by: Liu, Xiao, et al.
Published: (2024)
by: Liu, Xiao, et al.
Published: (2024)
SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation
by: Shi, Bo, et al.
Published: (2026)
by: Shi, Bo, et al.
Published: (2026)
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
by: Xu, Jing
Published: (2023)
by: Xu, Jing
Published: (2023)
Conformal Lesion Segmentation for 3D Medical Images
by: Tan, Binyu, et al.
Published: (2025)
by: Tan, Binyu, et al.
Published: (2025)
Brain Tissues Segmentation on MR Perfusion Images Using CUSUM Filter for Boundary Pixels
by: Alkhimova, S. M., et al.
Published: (2019)
by: Alkhimova, S. M., et al.
Published: (2019)
Segment Anything Model for Medical Images?
by: Huang, Yuhao, et al.
Published: (2023)
by: Huang, Yuhao, et al.
Published: (2023)
De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation
by: Xu, Qing, et al.
Published: (2024)
by: Xu, Qing, et al.
Published: (2024)
Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images
by: TehraniNasab, Zahra, et al.
Published: (2025)
by: TehraniNasab, Zahra, et al.
Published: (2025)
Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data
by: Zhou, Langrui, et al.
Published: (2024)
by: Zhou, Langrui, et al.
Published: (2024)
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
by: Liu, Houze, et al.
Published: (2024)
by: Liu, Houze, et al.
Published: (2024)
Similar Items
-
Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
by: Zou, Ke, et al.
Published: (2023) -
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
by: Li, Liu, et al.
Published: (2024) -
Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning
by: Rukundo, Olivier
Published: (2023) -
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
by: Ma, Chao, et al.
Published: (2024) -
EFCNet: Every Feature Counts for Small Medical Object Segmentation
by: Kong, Lingjie, et al.
Published: (2024)