Cover Image

Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Zhen, Ma, Yansong, Chen, Lei
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
by: Li, Chenxin, et al.
Published: (2024)

Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
by: Zou, Ke, et al.
Published: (2023)

SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
by: Tan, Shengbo, et al.
Published: (2024)

KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation
by: Fang, Chenglin, et al.
Published: (2024)

MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation
by: Zhu, Hancan, et al.
Published: (2025)

TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation
by: Wu, Yanlin, et al.
Published: (2024)

Mutual Evidential Deep Learning for Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2025)

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
by: Cheng, Chun-Wun, et al.
Published: (2025)

Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
by: Qi, Yuxuan, et al.
Published: (2024)

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation
by: Zhou, Zhenhuan, et al.
Published: (2024)

Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)

U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
by: Peng, Yaopeng, et al.
Published: (2023)

Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)

Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements
by: Lei, Shuge
Published: (2024)

SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation
by: Shi, Bo, et al.
Published: (2026)

Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
by: Peng, Yaopeng, et al.
Published: (2024)

Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
by: Zhou, Feng, et al.
Published: (2024)

SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
by: Zhu, Jiayuan, et al.
Published: (2024)

Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
by: Chen, Gongping, et al.
Published: (2022)

Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation
by: Cheng, Yuxuan, et al.
Published: (2024)

Prompt-Guided Dual-Path UNet with Mamba for Medical Image Segmentation
by: Zhang, Shaolei, et al.
Published: (2025)

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation
by: Yao, Zhenyan, et al.
Published: (2025)

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation
by: Xing, Ruiqi
Published: (2025)

Towards Collective Intelligence: Uncertainty-aware SAM Adaptation for Ambiguous Medical Image Segmentation
by: Jiang, Mingzhou, et al.
Published: (2024)

UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor Segmentation
by: Chen, Yanbing, et al.
Published: (2024)

Harnessing Lightweight Transformer with Contextual Synergic Enhancement for Efficient 3D Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2026)

HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
by: Xu, Qing, et al.
Published: (2025)

EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation
by: Abutalip, Kudaibergen, et al.
Published: (2024)

Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
by: Hung, Alex Ling Yu, et al.
Published: (2024)

MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation
by: Jiang, Yufeng, et al.
Published: (2024)

Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
by: Chen, Yuanbin, et al.
Published: (2023)

Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment
by: Wang, Lei, et al.
Published: (2024)

Segment Anything in Medical Images and Videos: Benchmark and Deployment
by: Ma, Jun, et al.
Published: (2024)

ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation
by: Gyanchandani, Bhavesh, et al.
Published: (2024)

SUPER-Net: Trustworthy Image Segmentation via Uncertainty Propagation in Encoder-Decoder Networks
by: Carannante, Giuseppina, et al.
Published: (2021)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic
by: Li, Liu, et al.
Published: (2025)

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation
by: Wang, Jia, et al.
Published: (2025)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
by: Li, Hongwei Bran, et al.
Published: (2024)

Optimizing Medical Image Segmentation with Advanced Decoder Design
by: Yang, Weibin, et al.
Published: (2024)

Towards Trustworthy Breast Tumor Segmentation in Ultrasound using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation
by: Musah, Toufiq, et al.
Published: (2025)