Cover Image

Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Yuan, Hou, Junlin, Zhang, Chao, Zhou, Yukun, Ge, Zongyuan, Xie, Haoran, Ju, Lie
Format:	Preprint
Published:	2025
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

MONICA: Benchmarking on Long-tailed Medical Image Classification
by: Ju, Lie, et al.
Published: (2024)

Universal Semi-Supervised Learning for Medical Image Classification
by: Ju, Lie, et al.
Published: (2023)

Delving into Out-of-Distribution Detection with Medical Vision-Language Models
by: Ju, Lie, et al.
Published: (2025)

LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
by: Xia, Peng, et al.
Published: (2023)

Prompt-driven Latent Domain Generalization for Medical Image Classification
by: Yan, Siyuan, et al.
Published: (2024)

Diversified and Personalized Multi-rater Medical Image Segmentation
by: Wu, Yicheng, et al.
Published: (2024)

Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
by: Hou, Junlin, et al.
Published: (2024)

Adaptive Label Correction for Robust Medical Image Segmentation with Noisy Labels
by: Qian, Chengxuan, et al.
Published: (2025)

TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
by: Li, Wenxue, et al.
Published: (2024)

Flexible Sampling for Long-tailed Skin Lesion Classification
by: Ju, Lie, et al.
Published: (2022)

Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels
by: Guo, Erjian, et al.
Published: (2025)

Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels
by: Dong, Jiahua, et al.
Published: (2024)

Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification
by: Liao, Zehui, et al.
Published: (2024)

DermAgent: A Self-Reflective Agentic System for Dermatological Image Analysis with Multi-Tool Reasoning and Traceable Decision-Making
by: Liu, Yize, et al.
Published: (2026)

Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
by: Wang, Hongmei, et al.
Published: (2024)

HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
by: Xia, Peng, et al.
Published: (2023)

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook
by: Ma, Chengqian, et al.
Published: (2025)

Processing HSV Colored Medical Images and Adapting Color Thresholds for Computational Image Analysis: a Practical Introduction to an open-source tool
by: Cai, Lie, et al.
Published: (2024)

Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
by: Hu, Jiamian, et al.
Published: (2024)

Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations
by: Li, Ming, et al.
Published: (2024)

Noisy Label Processing for Classification: A Survey
by: Li, Mengting, et al.
Published: (2024)

DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
by: Guo, Erjian, et al.
Published: (2025)

Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis
by: Nahiduzzaman, Md, et al.
Published: (2025)

CasSR: Activating Image Power for Real-World Image Super-Resolution
by: Chen, Haolan, et al.
Published: (2024)

Medical Image De-Identification Benchmark Challenge
by: Pei, Linmin, et al.
Published: (2025)

Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
by: Feng, Wei, et al.
Published: (2025)

Real-World Point Tracking with Verifier-Guided Pseudo-Labeling
by: Aydemir, Görkay, et al.
Published: (2026)

When the Small-Loss Trick is Not Enough: Multi-Label Image Classification with Noisy Labels Applied to CCTV Sewer Inspections
by: Chelouche, Keryan, et al.
Published: (2024)

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
by: Xia, Peng, et al.
Published: (2024)

WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification
by: Jiang, Yiwen, et al.
Published: (2025)

Foundation Models in Medical Imaging: A Review and Outlook
by: van Veldhuizen, Vivien, et al.
Published: (2025)

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

The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
by: Li, Jiatong, et al.
Published: (2026)

Noisy Label Refinement with Semantically Reliable Synthetic Images
by: Li, Yingxuan, et al.
Published: (2025)

FNBench: Benchmarking Robust Federated Learning against Noisy Labels
by: Jiang, Xuefeng, et al.
Published: (2025)

From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language Model Weak Supervision Across Three Medical-Imaging Benchmarks
by: Xu, Bruce Changlong, et al.
Published: (2026)

RecipeGen: A Benchmark for Real-World Recipe Image Generation
by: Zhang, Ruoxuan, et al.
Published: (2025)

From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2025)

Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels
by: Moghaddam, Alireza Sedighi, et al.
Published: (2025)

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
by: Deshpande, Tanvi, et al.
Published: (2024)