Image de couverture de livre

Welcome New Doctor: Continual Learning with Expert Consultation and Autoregressive Inference for Whole Slide Image Analysis

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bui, Doanh Cao, Kwak, Jin Tae
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network
par: Bui, Doanh C., et autres
Publié: (2024)

FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification
par: Bui, Doanh C., et autres
Publié: (2024)

MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
par: Bui, Doanh C., et autres
Publié: (2025)

QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View
par: Vuong, Trinh T. L., et autres
Publié: (2024)

VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation
par: Nguyen, Anh Tien, et autres
Publié: (2025)

ZeroSlide: Is Zero-Shot Classification Adequate for Lifelong Learning in Whole-Slide Image Analysis in the Era of Pathology Vision-Language Foundation Models?
par: Bui, Doanh C., et autres
Publié: (2025)

Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation
par: Bui, Doanh C., et autres
Publié: (2025)

Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
par: Li, Xianrui, et autres
Publié: (2025)

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
par: Lee, Byung Hyun, et autres
Publié: (2025)

MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification
par: Zhao, Jianwei, et autres
Publié: (2025)

HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation
par: Ngo, Ba Hung, et autres
Publié: (2024)

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
par: Li, Junjian, et autres
Publié: (2025)

USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images
par: Wang, Jiamu, et autres
Publié: (2025)

Slide-based Graph Collaborative Training for Histopathology Whole Slide Image Analysis
par: Shi, Jun, et autres
Publié: (2024)

Spatially-Aware Mixture of Experts with Log-Logistic Survival Modeling for Whole-Slide Images
par: Sekhar, Ardhendu, et autres
Publié: (2025)

Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis
par: Fu, Mingxi, et autres
Publié: (2025)

CLEAR: Cross-Transformers with Pre-trained Language Model is All you need for Person Attribute Recognition and Retrieval
par: Bui, Doanh C., et autres
Publié: (2024)

Pathology-CoT: Learning Visual Chain-of-Thought Agent from Expert Whole Slide Image Diagnosis Behavior
par: Wang, Sheng, et autres
Publié: (2025)

Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images
par: Yang, Yuxuan, et autres
Publié: (2026)

HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
par: Jin, Cheng, et autres
Publié: (2024)

DCMIL: A Progressive Representation Learning of Whole Slide Images for Cancer Prognosis Analysis
par: Tu, Chao, et autres
Publié: (2025)

Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis
par: Li, Honglin, et autres
Publié: (2024)

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis
par: Luo, Haoming, et autres
Publié: (2024)

MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis
par: Vuong, Trinh Thi Le, et autres
Publié: (2023)

Jigsaw Regularization in Whole-Slide Image Classification
par: Jeong, So Won, et autres
Publié: (2026)

CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
par: Fourkioti, Olga, et autres
Publié: (2023)

Fourier Transform Multiple Instance Learning for Whole Slide Image Classification
par: Bilic, Anthony, et autres
Publié: (2025)

Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images
par: Zhang, Yuedi, et autres
Publié: (2025)

Learning from Partial Label Proportions for Whole Slide Image Segmentation
par: Matsuo, Shinnosuke, et autres
Publié: (2024)

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
par: Zhang, Yunlong, et autres
Publié: (2023)

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging
par: Ye, Linfeng, et autres
Publié: (2026)

Multiple Instance Learning with random sampling for Whole Slide Image Classification
par: Keshvarikhojasteh, H., et autres
Publié: (2024)

Hierarchical Classification for Improved Histopathology Image Analysis
par: Byeon, Keunho, et autres
Publié: (2026)

Survival Modeling from Whole Slide Images via Patch-Level Graph Clustering and Mixture Density Experts
par: Sekhar, Ardhendu, et autres
Publié: (2025)

Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis
par: Marikkar, Umar, et autres
Publié: (2026)

DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification
par: Cao, Daoxi, et autres
Publié: (2025)

SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification
par: Shu, Tong, et autres
Publié: (2024)

ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images
par: Kim, Sangwook, et autres
Publié: (2025)

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification
par: Sun, Susu, et autres
Publié: (2025)

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration
par: Jing, Luru, et autres
Publié: (2026)