Cover Image

Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Bomin, Zhou, Hangqi, Gao, Yibo, Zhuang, Xiahai
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
by: Gao, Yibo, et al.
Published: (2025)

ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision
by: Zhang, Ke, et al.
Published: (2026)

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
by: Wang, Bomin, et al.
Published: (2024)

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
by: Gao, Yibo, et al.
Published: (2024)

Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation
by: Sui, An, et al.
Published: (2026)

Generalized Evidential Deep Learning: From a Bayesian Perspective
by: Liu, Yuanye, et al.
Published: (2026)

Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss
by: Xi, Lin, et al.
Published: (2026)

InDeed: Interpretable image deep decomposition with guaranteed generalizability
by: Wang, Sihan, et al.
Published: (2025)

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
by: Li, Yuzhu, et al.
Published: (2025)

X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers
by: Liu, Yuanye, et al.
Published: (2026)

FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation
by: Zhu, Meilu, et al.
Published: (2026)

A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation
by: Wang, Chaohan, et al.
Published: (2025)

SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation
by: Wang, Guoan, et al.
Published: (2024)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
by: Wang, Zhenyi, et al.
Published: (2023)

Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration
by: Luo, Xinzhe, et al.
Published: (2024)

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
by: Cheng, Junlong, et al.
Published: (2024)

Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
by: Wang, Jiayi, et al.
Published: (2025)

A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond
by: Bansal, Shubhi, et al.
Published: (2024)

Federated Learning for Medical Image Classification: A Comprehensive Benchmark
by: Zhou, Zhekai, et al.
Published: (2025)

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
by: Gotkowski, Karol, et al.
Published: (2024)

Show and Segment: Universal Medical Image Segmentation via In-Context Learning
by: Gao, Yunhe, et al.
Published: (2025)

Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation
by: Qiu, Kunpeng, et al.
Published: (2025)

A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation
by: Yu, Wenjing, et al.
Published: (2025)

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
by: Chen, Qian, et al.
Published: (2024)

pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
by: Wang, Tong, et al.
Published: (2025)

Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
by: Xu, Yinsong, et al.
Published: (2023)

PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation
by: Gao, Ning, et al.
Published: (2024)

Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks
by: Zhou, Chen, et al.
Published: (2024)

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting
by: Liu, Yuyang, et al.
Published: (2025)

Beyond Masks: The Case for Medical Image Parsing
by: Gupta, Siddharth, et al.
Published: (2026)

Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2025)

Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
by: Shi, Yuyan, et al.
Published: (2024)

Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
by: Gao, Yunhe, et al.
Published: (2023)

Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications
by: Kabil, Ahmed, et al.
Published: (2025)

Multi-Scale Global-Instance Prompt Tuning for Continual Test-time Adaptation in Medical Image Segmentation
by: Li, Lingrui, et al.
Published: (2026)

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
by: Zhao, Zhen, et al.
Published: (2023)

Beyond Euclidean Prototypes: Spectral Disentanglement and Geodesic Matching for Few-Shot Medical Image Segmentation
by: Jia, Penghao, et al.
Published: (2026)

Text-Promptable Propagation for Referring Medical Image Sequence Segmentation
by: Yuan, Runtian, et al.
Published: (2025)

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
by: Dong, Songlin, et al.
Published: (2025)

MedCRP-CL: Continual Medical Image Segmentation via Bayesian Nonparametric Semantic Modality Discovery
by: Gao, Ziyuan
Published: (2026)