Cover Image

Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Daniel, Rui, Verdelho, M. Rita, Barata, Catarina, Santiago, Carlos
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning
by: Verdelho, M Rita, et al.
Published: (2025)

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers
by: Pereira, Rita, et al.
Published: (2025)

MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
by: Mota, Tiago, et al.
Published: (2024)

Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis
by: Araújo, Diogo J., et al.
Published: (2024)

XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision
by: Correia, Miguel, et al.
Published: (2024)

Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
by: Chen, Huancheng, et al.
Published: (2024)

Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay
by: Rostami, Mohammad
Published: (2024)

Adaptative Context Normalization: A Boost for Deep Learning in Image Processing
by: Faye, Bilal, et al.
Published: (2024)

Prediction of 30-day hospital readmission with clinical notes and EHR information
by: Almeida, Tiago, et al.
Published: (2025)

FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification
by: Weißflog, Markus, et al.
Published: (2024)

Scalable Strategies for Continual Learning with Replay
by: Hickok, Truman
Published: (2025)

Adaptive Memory Replay for Continual Learning
by: Smith, James Seale, et al.
Published: (2024)

ER-FSL: Experience Replay with Feature Subspace Learning for Online Continual Learning
by: Lin, Huiwei
Published: (2024)

HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
by: Lin, Huiwei, et al.
Published: (2023)

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay
by: Yu, Yongcan, et al.
Published: (2024)

Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
by: Rezaei, Hossein, et al.
Published: (2024)

IDER: IDempotent Experience Replay for Reliable Continual Learning
by: Liu, Zhanwang, et al.
Published: (2026)

CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation
by: Esmaeili, Parhom, et al.
Published: (2026)

Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
by: Chaddad, Ahmad, et al.
Published: (2025)

Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
by: Theofilou, Paraskevi-Antonia, et al.
Published: (2025)

Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
by: Liang, Jinglin, et al.
Published: (2024)

Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
by: Mandalika, Sriram, et al.
Published: (2025)

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
by: Wang, Maolin, et al.
Published: (2025)

WaveFuse-AL: Cyclical and Performance-Adaptive Multi-Strategy Active Learning for Medical Images
by: Thakur, Nishchala, et al.
Published: (2025)

Multi-Scale Transformer Architecture for Accurate Medical Image Classification
by: Hu, Jiacheng, et al.
Published: (2025)

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
by: Saeed, Numan, et al.
Published: (2025)

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction
by: Barbano, Riccardo, et al.
Published: (2023)

A Study of Acquisition Functions for Medical Imaging Deep Active Learning
by: Dossou, Bonaventure F. P.
Published: (2024)

An Efficient Medical Image Classification Method Based on a Lightweight Improved ConvNeXt-Tiny Architecture
by: Xia, Jingsong, et al.
Published: (2025)

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
by: Guo, Jingjie, et al.
Published: (2023)

A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
by: Palit, Sanchar, et al.
Published: (2023)

Replay-free Online Continual Learning with Self-Supervised MultiPatches
by: Cignoni, Giacomo, et al.
Published: (2025)

SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation
by: Das, Badhan Kumar, et al.
Published: (2025)

Class-wise Balancing Data Replay for Federated Class-Incremental Learning
by: Qi, Zhuang, et al.
Published: (2025)

Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
by: Basso-Bert, Yanis, et al.
Published: (2025)

A Context-Aware Middleware for Medical Image Based Reports: An approach based on image feature extraction and association rules
by: Rodrigues, Erick O., et al.
Published: (2026)

Revisiting Neural Networks for Continual Learning: An Architectural Perspective
by: Lu, Aojun, et al.
Published: (2024)

Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
by: Qiu, Xingyu, et al.
Published: (2026)

MedicalPatchNet: A Patch-Based Self-Explainable AI Architecture for Chest X-ray Classification
by: Wienholt, Patrick, et al.
Published: (2025)

KeepLoRA: Continual Learning with Residual Gradient Adaptation
by: Luo, Mao-Lin, et al.
Published: (2026)