Cover Image

USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Jiamu, Kwak, Jin Tae
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

NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation
by: Wang, Jiamu, et al.
Published: (2024)

Patch Stitching Data Augmentation for Cancer Classification in Pathology Images
by: Wang, Jiamu, et al.
Published: (2025)

Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images
by: Song, Jinsol, et al.
Published: (2025)

GPC: Generative and General Pathology Image Classifier
by: Nguyen, Anh Tien, et al.
Published: (2024)

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis
by: Wang, Jiamu, et al.
Published: (2025)

Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios
by: Lee, Jeaung, et al.
Published: (2024)

HSMix: Hard and Soft Mixing Data Augmentation for Medical Image Segmentation
by: Sun, Danyang, et al.
Published: (2025)

Mix-modal Federated Learning for MRI Image Segmentation
by: Hu, Guyue, et al.
Published: (2025)

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation
by: Li, Yijie, et al.
Published: (2025)

Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability
by: Won, Soyoun, et al.
Published: (2023)

SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images
by: Yan, Zhiling, et al.
Published: (2026)

ViDRiP-LLaVA: A Dataset and Benchmark for Diagnostic Reasoning from Pathology Videos
by: Vuong, Trinh T. L., et al.
Published: (2025)

MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network
by: Bui, Doanh C., et al.
Published: (2024)

Welcome New Doctor: Continual Learning with Expert Consultation and Autoregressive Inference for Whole Slide Image Analysis
by: Bui, Doanh Cao, et al.
Published: (2025)

BioVessel-Net and RetinaMix: Unsupervised Retinal Vessel Segmentation from OCTA Images
by: Huang, Cheng, et al.
Published: (2025)

GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing
by: Islam, Khawar, et al.
Published: (2024)

GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification
by: Lee, Hansang, et al.
Published: (2024)

HydraMix: Multi-Image Feature Mixing for Small Data Image Classification
by: Reinders, Christoph, et al.
Published: (2025)

Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets
by: Liu, Chang, et al.
Published: (2026)

LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2025)

PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation
by: Lei, Yu, et al.
Published: (2024)

DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images
by: Lee, Ju Cheon, et al.
Published: (2024)

Mixed-Query Transformer: A Unified Image Segmentation Architecture
by: Wang, Pei, et al.
Published: (2024)

Decoupled Data Augmentation for Improving Image Classification
by: Chen, Ruoxin, et al.
Published: (2024)

Adaptive Mix for Semi-Supervised Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2024)

AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation
by: Liu, Chang, et al.
Published: (2024)

NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
by: Takezaki, Shumpei, et al.
Published: (2025)

An Efficient and Mixed Heterogeneous Model for Image Restoration
by: Gu, Yubin, et al.
Published: (2025)

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model
by: Ranjan, Navin, et al.
Published: (2025)

DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
by: Islam, Khawar, et al.
Published: (2024)

MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
by: Jin, Xin, et al.
Published: (2025)

VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation
by: Nguyen, Anh Tien, et al.
Published: (2025)

Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
by: Liu, Yang, et al.
Published: (2023)

FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification
by: Bui, Doanh C., et al.
Published: (2024)

MixCut:A Data Augmentation Method for Facial Expression Recognition
by: Yu, Jiaxiang, et al.
Published: (2024)

Diffusion-Guided Mask-Consistent Paired Mixing for Endoscopic Image Segmentation
by: Jie, Pengyu, et al.
Published: (2025)

Dataset Augmentation by Mixing Visual Concepts
by: Rahat, Abdullah Al, et al.
Published: (2024)

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

Mixed Magnification Aggregation for Generalizable Region-Level Representations in Computational Pathology
by: Zimmermann, Eric, et al.
Published: (2026)

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
by: Zimmermann, Eric, et al.
Published: (2024)