Image de couverture de livre

Footprint-Guided Exemplar-Free Continual Histopathology Report Generation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kumari, Pratibha, Reisenbüchler, Daniel, Bozorgpour, Afshin, Sadegheih, yousef, Choudhary, Priyankar, Merhof, Dorit
Format:	Preprint
Publié:	2026
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

Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis
par: Kumari, Pratibha, et autres
Publié: (2025)

LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
par: Sadegheih, Yousef, et autres
Publié: (2024)

Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning
par: Kumari, Pratibha, et autres
Publié: (2025)

Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
par: Kumari, Pratibha, et autres
Publié: (2023)

Continual Domain Incremental Learning for Privacy-aware Digital Pathology
par: Kumari, Pratibha, et autres
Publié: (2024)

Gated Differential Linear Attention: A Linear-Time Decoder for High-Fidelity Medical Segmentation
par: Zheng, Hongbo, et autres
Publié: (2026)

Physics-Inspired Generative Models in Medical Imaging: A Review
par: Hein, Dennis, et autres
Publié: (2024)

CENet: Context Enhancement Network for Medical Image Segmentation
par: Bozorgpour, Afshin, et autres
Publié: (2025)

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
par: Sadegheih, Yousef, et autres
Publié: (2026)

Modality-Agnostic Brain Lesion Segmentation with Privacy-aware Continual Learning
par: Sadegheih, Yousef, et autres
Publié: (2025)

Unsupervised Latent Stain Adaptation for Computational Pathology
par: Reisenbüchler, Daniel, et autres
Publié: (2024)

Tissue Classification and Whole-Slide Images Analysis via Modeling of the Tumor Microenvironment and Biological Pathways
par: Liu, Junzhuo, et autres
Publié: (2026)

MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
par: Kolahi, Sina Ghorbani, et autres
Publié: (2024)

Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
par: Wu, Yuli, et autres
Publié: (2020)

Spatial Transcriptomics Expression Prediction from Histopathology Based on Cross-Modal Mask Reconstruction and Contrastive Learning
par: Liu, Junzhuo, et autres
Publié: (2025)

Echo-E$^3$Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation
par: Heidari, Moein, et autres
Publié: (2025)

Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography
par: Wu, Yuli, et autres
Publié: (2021)

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
par: Heidari, Moein, et autres
Publié: (2024)

GACL: Exemplar-Free Generalized Analytic Continual Learning
par: Zhuang, Huiping, et autres
Publié: (2024)

Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
par: Heidari, Moein, et autres
Publié: (2024)

Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework
par: Amrutkar, Ankit, et autres
Publié: (2025)

EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging
par: Harit, Anoushka, et autres
Publié: (2025)

Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation
par: Karimijafarbigloo, Sanaz, et autres
Publié: (2026)

SL$^{2}$A-INR: Single-Layer Learnable Activation for Implicit Neural Representation
par: Heidari, Moein, et autres
Publié: (2024)

Deep Learning-Based Desikan-Killiany Parcellation of the Brain Using Diffusion MRI
par: Sadegheih, Yousef, et autres
Publié: (2025)

Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study
par: Sadegheih, Yousef, et autres
Publié: (2024)

A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
par: Wu, Yuli, et autres
Publié: (2023)

Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
par: Goswami, Dipam, et autres
Publié: (2024)

On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
par: Wang, Tianqi, et autres
Publié: (2025)

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
par: Goswami, Dipam, et autres
Publié: (2023)

Reversible Inversion for Training-Free Exemplar-guided Image Editing
par: Li, Yuke, et autres
Publié: (2025)

Exemplar-Free Class Incremental Learning via Incremental Representation
par: Huang, Libo, et autres
Publié: (2024)

Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
par: Yao, Zhongren, et autres
Publié: (2024)

Exemplar-free Continual Representation Learning via Learnable Drift Compensation
par: Gomez-Villa, Alex, et autres
Publié: (2024)

Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
par: Zhang, Anqi, et autres
Publié: (2024)

Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis
par: Chen, Xiuwei, et autres
Publié: (2023)

PANDA -- Patch And Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning
par: Raghavan, Siddeshwar, et autres
Publié: (2025)

Tissue Concepts: supervised foundation models in computational pathology
par: Nicke, Till, et autres
Publié: (2024)

LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
par: Liu, Xuan, et autres
Publié: (2025)

CoFi: A Fast Coarse-to-Fine Few-Shot Pipeline for Glomerular Basement Membrane Segmentation
par: Fang, Hongjin, et autres
Publié: (2025)