Copertina

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liang, Guoyan, Zhou, Qin, Chen, Jingyuan, Wang, Zhe, Yao, Chang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
di: Liang, Guoyan, et al.
Pubblicazione: (2025)

Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation
di: Zhou, Qin, et al.
Pubblicazione: (2025)

Time Series Generative Learning with Application to Brain Imaging Analysis
di: Li, Zhenghao, et al.
Pubblicazione: (2024)

VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification
di: Liu, Zelong, et al.
Pubblicazione: (2024)

A Ridgelet Approach to Poisson Denoising
di: Dadras, Ali, et al.
Pubblicazione: (2024)

Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities
di: Wang, Yuli, et al.
Pubblicazione: (2024)

Noise-aware Dynamic Image Denoising and Positron Range Correction for Rubidium-82 Cardiac PET Imaging via Self-supervision
di: Xie, Huidong, et al.
Pubblicazione: (2024)

Compressed sensing with a jackknife and a bootstrap
di: Tygert, Mark, et al.
Pubblicazione: (2018)

WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology
di: Sharma, Abhinav, et al.
Pubblicazione: (2024)

Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
di: Wang, Chuhan, et al.
Pubblicazione: (2025)

SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
di: Song, Bentao, et al.
Pubblicazione: (2024)

Distributed U-net model and Image Segmentation for Lung Cancer Detection
di: Hu, Tianzuo
Pubblicazione: (2025)

Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
di: Bi, Yali, et al.
Pubblicazione: (2025)

Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
di: Ge, Rongjun, et al.
Pubblicazione: (2026)

SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images
di: Ding, Yao, et al.
Pubblicazione: (2025)

Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images
di: Huo, Jiayu, et al.
Pubblicazione: (2024)

Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
di: Liu, Zihang, et al.
Pubblicazione: (2022)

Diverse Instance Generation via Diffusion Models for Enhanced Few-Shot Object Detection in Remote Sensing Images
di: Liu, Yanxing, et al.
Pubblicazione: (2025)

IMIL: Interactive Medical Image Learning Framework
di: Rao, Adrit, et al.
Pubblicazione: (2024)

MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
di: Lin, Shijie, et al.
Pubblicazione: (2025)

Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation
di: Zhang, Tongrui, et al.
Pubblicazione: (2026)

Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning
di: Yang, Jin, et al.
Pubblicazione: (2025)

Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
di: Sprunck, Tom, et al.
Pubblicazione: (2025)

Time-resolved aortic 3D shape reconstruction from a limited number of cine 2D MRI slices
di: Wolkerstorfer, Gloria, et al.
Pubblicazione: (2026)

Image Deraining via Self-supervised Reinforcement Learning
di: Liao, He-Hao, et al.
Pubblicazione: (2024)

Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts
di: Gordaliza, Pedro M., et al.
Pubblicazione: (2025)

Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
di: Ayman, Ahmed
Pubblicazione: (2023)

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
di: Zhu, Wenhui, et al.
Pubblicazione: (2024)

Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction
di: Liang, Shijun, et al.
Pubblicazione: (2024)

Active Learning on Medical Image
di: Biswas, Angona, et al.
Pubblicazione: (2023)

Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation
di: Qayyum, Abdul, et al.
Pubblicazione: (2024)

FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation
di: Lin, Li, et al.
Pubblicazione: (2024)

3D Skin Segmentation Methods in Medical Imaging: A Comparison
di: Paccini, Martina, et al.
Pubblicazione: (2025)

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

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration
di: Zhou, Xiaogen, et al.
Pubblicazione: (2024)

Deep Nonparametric Conditional Independence Tests for Images
di: Simnacher, Marco, et al.
Pubblicazione: (2024)

MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation
di: Fan, Dingwei, et al.
Pubblicazione: (2025)

AINet: Anchor Instances Learning for Regional Heterogeneity in Whole Slide Image
di: Zheng, Tingting, et al.
Pubblicazione: (2026)

CATFA-Net: A Trans-Convolutional Approach for Accurate Medical Image Segmentation
di: Mallick, Siddhartha, et al.
Pubblicazione: (2026)

Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
di: Saragih, Daniel, et al.
Pubblicazione: (2023)