SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
Fuente:
arXiv
Saved in:
| Main Authors: | Song, Yicheng, Lin, Tiancheng, Peng, Die, Yang, Su, Xu, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GCE-MIL: Faithful and Recoverable Evidence for Multiple Instance Learning in Whole-Slide Imaging
by: Li, Xiangyu, et al.
Published: (2026)
by: Li, Xiangyu, et al.
Published: (2026)
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
by: Qiu, Peijie, et al.
Published: (2023)
by: Qiu, Peijie, et al.
Published: (2023)
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification
by: Chu, Hongbo, et al.
Published: (2024)
by: Chu, Hongbo, et al.
Published: (2024)
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models
by: Fang, Zijie, et al.
Published: (2024)
by: Fang, Zijie, et al.
Published: (2024)
MeCaMIL: Causality-Aware Multiple Instance Learning for Fair and Interpretable Whole Slide Image Diagnosis
by: Song, Yiran, et al.
Published: (2025)
by: Song, Yiran, et al.
Published: (2025)
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification
by: Wong, Bryan, et al.
Published: (2024)
by: Wong, Bryan, et al.
Published: (2024)
WSD-MIL: Window Scale Decay Multiple Instance Learning for Whole Slide Image Classification
by: Feng, Le, et al.
Published: (2025)
by: Feng, Le, et al.
Published: (2025)
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification
by: Bai, Yu, et al.
Published: (2025)
by: Bai, Yu, et al.
Published: (2025)
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
by: Zhu, Wenhui, et al.
Published: (2024)
by: Zhu, Wenhui, et al.
Published: (2024)
ReaMIL: Reasoning- and Evidence-Aware Multiple Instance Learning for Whole-Slide Histopathology
by: Jung, Hyun Do, et al.
Published: (2026)
by: Jung, Hyun Do, et al.
Published: (2026)
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification
by: Peled, Sharon, et al.
Published: (2025)
by: Peled, Sharon, et al.
Published: (2025)
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
by: Shi, Jiangbo, et al.
Published: (2025)
by: Shi, Jiangbo, et al.
Published: (2025)
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification
by: Fang, Heng, et al.
Published: (2024)
by: Fang, Heng, et al.
Published: (2024)
WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images
by: Chen, Pingyi, et al.
Published: (2023)
by: Chen, Pingyi, et al.
Published: (2023)
Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint
by: Cai, Linghan, et al.
Published: (2024)
by: Cai, Linghan, et al.
Published: (2024)
MsaMIL-Net: An End-to-End Multi-Scale Aware Multiple Instance Learning Network for Efficient Whole Slide Image Classification
by: Wen, Jiangping, et al.
Published: (2025)
by: Wen, Jiangping, et al.
Published: (2025)
FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images
by: Cheng, Hangbei, et al.
Published: (2025)
by: Cheng, Hangbei, et al.
Published: (2025)
SemaMIL: Semantic-Aware Multiple Instance Learning with Retrieval-Guided State Space Modeling for Whole Slide Images
by: Gan, Lubin, et al.
Published: (2025)
by: Gan, Lubin, et al.
Published: (2025)
Spatial Blindness in Whole-Slide Multiple Instance Learning
by: Li, Xiangyu, et al.
Published: (2026)
by: Li, Xiangyu, et al.
Published: (2026)
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning
by: Ahmed, Syed Fahim, et al.
Published: (2026)
by: Ahmed, Syed Fahim, et al.
Published: (2026)
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images
by: Fuster, Saul, et al.
Published: (2024)
by: Fuster, Saul, et al.
Published: (2024)
Whole Slide Concepts: A Supervised Foundation Model For Pathological Images
by: Nicke, Till, et al.
Published: (2025)
by: Nicke, Till, et al.
Published: (2025)
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images
by: Zhang, Yuedi, et al.
Published: (2025)
by: Zhang, Yuedi, et al.
Published: (2025)
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
by: Jin, Cheng, et al.
Published: (2024)
by: Jin, Cheng, et al.
Published: (2024)
AINet: Anchor Instances Learning for Regional Heterogeneity in Whole Slide Image
by: Zheng, Tingting, et al.
Published: (2026)
by: Zheng, Tingting, et al.
Published: (2026)
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification
by: Zheng, Weixi, et al.
Published: (2025)
by: Zheng, Weixi, et al.
Published: (2025)
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
by: Zhang, Yunlong, et al.
Published: (2023)
by: Zhang, Yunlong, et al.
Published: (2023)
DeltaMIL: Gated Memory Integration for Efficient and Discriminative Whole Slide Image Analysis
by: Zhu, Yueting, et al.
Published: (2025)
by: Zhu, Yueting, et al.
Published: (2025)
Fusion of Multi-scale Heterogeneous Pathology Foundation Models for Whole Slide Image Analysis
by: Yang, Zhidong, et al.
Published: (2025)
by: Yang, Zhidong, et al.
Published: (2025)
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification
by: Lee, Joohyung, et al.
Published: (2024)
by: Lee, Joohyung, et al.
Published: (2024)
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
by: Li, Xianrui, et al.
Published: (2025)
by: Li, Xianrui, et al.
Published: (2025)
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
by: Qu, Linhao, et al.
Published: (2025)
by: Qu, Linhao, et al.
Published: (2025)
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
by: Zheng, Tingting, et al.
Published: (2024)
by: Zheng, Tingting, et al.
Published: (2024)
Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training
by: Patil, Abhijeet, et al.
Published: (2024)
by: Patil, Abhijeet, et al.
Published: (2024)
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification
by: Cao, Daoxi, et al.
Published: (2025)
by: Cao, Daoxi, et al.
Published: (2025)
MambaMIL+: Modeling Long-Term Contextual Patterns for Gigapixel Whole Slide Image
by: Zeng, Qian, et al.
Published: (2025)
by: Zeng, Qian, et al.
Published: (2025)
Fourier Transform Multiple Instance Learning for Whole Slide Image Classification
by: Bilic, Anthony, et al.
Published: (2025)
by: Bilic, Anthony, et al.
Published: (2025)
ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging
by: Ye, Linfeng, et al.
Published: (2026)
by: Ye, Linfeng, et al.
Published: (2026)
Multiple Instance Learning with random sampling for Whole Slide Image Classification
by: Keshvarikhojasteh, H., et al.
Published: (2024)
by: Keshvarikhojasteh, H., et al.
Published: (2024)
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
by: Qu, Linhao, et al.
Published: (2023)
by: Qu, Linhao, et al.
Published: (2023)
Similar Items
-
GCE-MIL: Faithful and Recoverable Evidence for Multiple Instance Learning in Whole-Slide Imaging
by: Li, Xiangyu, et al.
Published: (2026) -
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
by: Qiu, Peijie, et al.
Published: (2023) -
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification
by: Chu, Hongbo, et al.
Published: (2024) -
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models
by: Fang, Zijie, et al.
Published: (2024) -
MeCaMIL: Causality-Aware Multiple Instance Learning for Fair and Interpretable Whole Slide Image Diagnosis
by: Song, Yiran, et al.
Published: (2025)