Copertina

SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Myles, Craig, Um, In Hwa, Marshall, Craig, Harris-Birtill, David, Harrison, David J.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SurGen: Text-Guided Diffusion Model for Surgical Video Generation
di: Cho, Joseph, et al.
Pubblicazione: (2024)

Fast, Unsupervised Framework for Registration Quality Assessment of Multi-stain Histological Whole Slide Pairs
di: Dubey, Shikha, et al.
Pubblicazione: (2026)

Spatially-Aware Mixture of Experts with Log-Logistic Survival Modeling for Whole-Slide Images
di: Sekhar, Ardhendu, et al.
Pubblicazione: (2025)

Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models
di: Myles, Craig, et al.
Pubblicazione: (2026)

Benchmarking Pathology Feature Extractors for Whole Slide Image Classification
di: Wölflein, Georg, et al.
Pubblicazione: (2023)

Morphology-Aware Prognostic model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole Slide Images
di: Sajjad, Usama, et al.
Pubblicazione: (2025)

A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images
di: Umer, Rao Muhammad, et al.
Pubblicazione: (2025)

Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
di: Jiang, Songhan, et al.
Pubblicazione: (2024)

Survival Modeling from Whole Slide Images via Patch-Level Graph Clustering and Mixture Density Experts
di: Sekhar, Ardhendu, et al.
Pubblicazione: (2025)

Jigsaw Regularization in Whole-Slide Image Classification
di: Jeong, So Won, et al.
Pubblicazione: (2026)

Slide-based Graph Collaborative Training for Histopathology Whole Slide Image Analysis
di: Shi, Jun, et al.
Pubblicazione: (2024)

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction
di: Shou, Yuntao, et al.
Pubblicazione: (2024)

SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification
di: Shu, Tong, et al.
Pubblicazione: (2024)

Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images
di: Wang, Yi Kan, et al.
Pubblicazione: (2024)

Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification
di: Huang, Gexin, et al.
Pubblicazione: (2024)

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis
di: Kumar, Neeraj, et al.
Pubblicazione: (2025)

GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation
di: Mirabadi, Ali Khajegili, et al.
Pubblicazione: (2024)

Cell Nuclei Detection and Classification in Whole Slide Images with Transformers
di: Pina, Oscar, et al.
Pubblicazione: (2025)

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images
di: Liu, Kechun, et al.
Pubblicazione: (2024)

Hard Negative Sample Mining for Whole Slide Image Classification
di: Huang, Wentao, et al.
Pubblicazione: (2024)

Comparing ImageNet Pre-training with Digital Pathology Foundation Models for Whole Slide Image-Based Survival Analysis
di: Papadopoulos, Kleanthis Marios, et al.
Pubblicazione: (2024)

Fourier Transform Multiple Instance Learning for Whole Slide Image Classification
di: Bilic, Anthony, et al.
Pubblicazione: (2025)

Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis
di: Li, Honglin, et al.
Pubblicazione: (2024)

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

Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
di: Li, Xianrui, et al.
Pubblicazione: (2025)

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis
di: Luo, Haoming, et al.
Pubblicazione: (2024)

Learning from Partial Label Proportions for Whole Slide Image Segmentation
di: Matsuo, Shinnosuke, et al.
Pubblicazione: (2024)

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
di: Zhang, Yunlong, et al.
Pubblicazione: (2023)

Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images
di: Zhang, Yuedi, et al.
Pubblicazione: (2025)

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging
di: Ye, Linfeng, et al.
Pubblicazione: (2026)

Multiple Instance Learning with random sampling for Whole Slide Image Classification
di: Keshvarikhojasteh, H., et al.
Pubblicazione: (2024)

LSP-DETR: Efficient and Scalable Nuclei Segmentation in Whole Slide Images
di: Pekár, Matěj, et al.
Pubblicazione: (2026)

Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification
di: Lin, Yi, et al.
Pubblicazione: (2024)

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images
di: Yang, Zekang, et al.
Pubblicazione: (2024)

Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images
di: Ounissi, Mehdi, et al.
Pubblicazione: (2024)

Hypergraph Mamba for Efficient Whole Slide Image Understanding
di: Lu, Jiaxuan, et al.
Pubblicazione: (2025)

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images
di: Ganz, Jonathan, et al.
Pubblicazione: (2024)

Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis
di: Marikkar, Umar, et al.
Pubblicazione: (2026)

Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Images
di: Han, Minghao, et al.
Pubblicazione: (2024)

MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification
di: Zhao, Jianwei, et al.
Pubblicazione: (2025)