CLFSeg: A Fuzzy-Logic based Solution for Boundary Clarity and Uncertainty Reduction in Medical Image Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Kaushal, Anshul, Jangid, Kunal, Kurmi, Vinod K. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Label Calibration in Source Free Domain Adaptation
by: Rai, Shivangi, et al.
Published: (2025)
by: Rai, Shivangi, et al.
Published: (2025)
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation
by: Thakur, Rini Smita, et al.
Published: (2025)
by: Thakur, Rini Smita, et al.
Published: (2025)
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
by: Nema, Parinita, et al.
Published: (2025)
by: Nema, Parinita, et al.
Published: (2025)
CosFairNet:A Parameter-Space based Approach for Bias Free Learning
by: Dwivedi, Rajeev Ranjan, et al.
Published: (2024)
by: Dwivedi, Rajeev Ranjan, et al.
Published: (2024)
Multi Attribute Bias Mitigation via Representation Learning
by: Dwivedi, Rajeev Ranjan, et al.
Published: (2025)
by: Dwivedi, Rajeev Ranjan, et al.
Published: (2025)
Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment
by: Thakur, Rini Smita, et al.
Published: (2025)
by: Thakur, Rini Smita, et al.
Published: (2025)
An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation
by: Verma, Hanuman, et al.
Published: (2026)
by: Verma, Hanuman, et al.
Published: (2026)
Navigating Uncertainty in Medical Image Segmentation
by: Zepf, Kilian, et al.
Published: (2024)
by: Zepf, Kilian, et al.
Published: (2024)
Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation
by: Barfoot, Theodore, et al.
Published: (2025)
by: Barfoot, Theodore, et al.
Published: (2025)
Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation
by: Sui, An, et al.
Published: (2026)
by: Sui, An, et al.
Published: (2026)
Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation
by: Zhang, Jinming, et al.
Published: (2026)
by: Zhang, Jinming, et al.
Published: (2026)
Histogram Assisted Quality Aware Generative Model for Resolution Invariant NIR Image Colorization
by: Attri, Abhinav, et al.
Published: (2026)
by: Attri, Abhinav, et al.
Published: (2026)
RDTE-UNet: A Boundary and Detail Aware UNet for Precise Medical Image Segmentation
by: Qu, Jierui, et al.
Published: (2025)
by: Qu, Jierui, et al.
Published: (2025)
Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2025)
by: Huang, Kaiwen, et al.
Published: (2025)
Boundary-Aware Test-Time Adaptation for Zero-Shot Medical Image Segmentation
by: Xu, Chenlin, et al.
Published: (2025)
by: Xu, Chenlin, et al.
Published: (2025)
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
by: Zhang, Yichi, et al.
Published: (2023)
by: Zhang, Yichi, et al.
Published: (2023)
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation
by: Ma, Siteng, et al.
Published: (2024)
by: Ma, Siteng, et al.
Published: (2024)
Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation
by: Zhou, Shiwei, et al.
Published: (2025)
by: Zhou, Shiwei, et al.
Published: (2025)
UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation
by: Cheng, Shuokun, et al.
Published: (2026)
by: Cheng, Shuokun, et al.
Published: (2026)
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
by: Das, Aryan, et al.
Published: (2026)
by: Das, Aryan, et al.
Published: (2026)
Efficient Knowledge Distillation of SAM for Medical Image Segmentation
by: Patil, Kunal Dasharath, et al.
Published: (2025)
by: Patil, Kunal Dasharath, et al.
Published: (2025)
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
by: Yao, Yifei, et al.
Published: (2024)
by: Yao, Yifei, et al.
Published: (2024)
FocusSDF: Boundary-Aware Learning for Medical Image Segmentation via Signed Distance Supervision
by: Shafique, Muzammal, et al.
Published: (2025)
by: Shafique, Muzammal, et al.
Published: (2025)
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
by: Valiuddin, M. M. Amaan, et al.
Published: (2023)
by: Valiuddin, M. M. Amaan, et al.
Published: (2023)
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2024)
by: He, Yuanpeng, et al.
Published: (2024)
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
by: Javed, Syed, et al.
Published: (2024)
by: Javed, Syed, et al.
Published: (2024)
An Intuitionistic Fuzzy Logic Driven UNet architecture: Application to Brain Image segmentation
by: Verma, Hanuman, et al.
Published: (2026)
by: Verma, Hanuman, et al.
Published: (2026)
Capsule Endoscopy Image Enhancement for Small Intestinal Villi Clarity
by: Zhang, Shaojie, et al.
Published: (2024)
by: Zhang, Shaojie, et al.
Published: (2024)
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes
by: Kataria, Tushar, et al.
Published: (2025)
by: Kataria, Tushar, et al.
Published: (2025)
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation
by: Li, Lijian, et al.
Published: (2025)
by: Li, Lijian, et al.
Published: (2025)
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation
by: Karri, Meghana, et al.
Published: (2024)
by: Karri, Meghana, et al.
Published: (2024)
A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical Images
by: Pan, Yizhi, et al.
Published: (2024)
by: Pan, Yizhi, et al.
Published: (2024)
LIMIS: Towards Language-based Interactive Medical Image Segmentation
by: Heinemann, Lena, et al.
Published: (2024)
by: Heinemann, Lena, et al.
Published: (2024)
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
by: Paranjape, Jay N., et al.
Published: (2024)
by: Paranjape, Jay N., et al.
Published: (2024)
Boundary-Aware Instance Segmentation in Microscopy Imaging
by: Mendelson, Thomas, et al.
Published: (2026)
by: Mendelson, Thomas, et al.
Published: (2026)
Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching
by: Van Nguyen, Phi, et al.
Published: (2025)
by: Van Nguyen, Phi, et al.
Published: (2025)
Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
by: Lu, Yunyao, et al.
Published: (2025)
by: Lu, Yunyao, et al.
Published: (2025)
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
by: Assefa, Maregu, et al.
Published: (2025)
by: Assefa, Maregu, et al.
Published: (2025)
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
Expert-Adaptive Medical Image Segmentation
by: Hu, Binyan, et al.
Published: (2024)
by: Hu, Binyan, et al.
Published: (2024)
Similar Items
-
Label Calibration in Source Free Domain Adaptation
by: Rai, Shivangi, et al.
Published: (2025) -
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation
by: Thakur, Rini Smita, et al.
Published: (2025) -
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
by: Nema, Parinita, et al.
Published: (2025) -
CosFairNet:A Parameter-Space based Approach for Bias Free Learning
by: Dwivedi, Rajeev Ranjan, et al.
Published: (2024) -
Multi Attribute Bias Mitigation via Representation Learning
by: Dwivedi, Rajeev Ranjan, et al.
Published: (2025)