Copertina

Experience-Guided Self-Adaptive Cascaded Agents for Breast Cancer Screening and Diagnosis with Reduced Biopsy Referrals

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Saha, Pramit, Alsharid, Mohammad, Strong, Joshua, Noble, J. Alison
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Picking the Right Specialist: Attentive Neural Process-based Selection of Task-Specialized Models as Tools for Agentic Healthcare Systems
di: Saha, Pramit, et al.
Pubblicazione: (2026)

FedAgentBench: Towards Automating Real-world Federated Medical Image Analysis with Server-Client LLM Agents
di: Saha, Pramit, et al.
Pubblicazione: (2025)

FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
di: Saha, Pramit, et al.
Pubblicazione: (2024)

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection
di: Saha, Pramit, et al.
Pubblicazione: (2024)

Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
di: Mishra, Divyanshu, et al.
Pubblicazione: (2025)

Investigating Deep Learning Models for Ejection Fraction Estimation from Echocardiography Videos
di: Saranyan, Shravan, et al.
Pubblicazione: (2025)

The Promise of Analog Deep Learning: Recent Advances, Challenges and Opportunities
di: Datar, Aditya, et al.
Pubblicazione: (2024)

MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer
di: Mishra, Divyanshu, et al.
Pubblicazione: (2025)

Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
di: Saha, Pramit, et al.
Pubblicazione: (2025)

F$^3$OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
di: Saha, Pramit, et al.
Pubblicazione: (2024)

Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew
di: Peng, Can, et al.
Pubblicazione: (2025)

Virtual Biopsy for Intracranial Tumors Diagnosis on MRI
di: Luo, Xinzhe, et al.
Pubblicazione: (2026)

Federated Continual 3D Segmentation With Single-round Communication
di: Peng, Can, et al.
Pubblicazione: (2025)

Multi-View Hypercomplex Learning for Breast Cancer Screening
di: Lopez, Eleonora, et al.
Pubblicazione: (2022)

Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence
di: Rofena, Aurora, et al.
Pubblicazione: (2025)

Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning
di: Chen, Han, et al.
Pubblicazione: (2025)

Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
di: Strong, Joshua, et al.
Pubblicazione: (2026)

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks
di: Zhou, Zhengbo, et al.
Pubblicazione: (2024)

MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction
di: Zheng, Shunjie-Fabian, et al.
Pubblicazione: (2025)

Adaptive Deep Learning for Breast Cancer Subtype Prediction Via Misprediction Risk Analysis
di: Sheeraz, Gul, et al.
Pubblicazione: (2025)

Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
di: Abdullakutty, Faseela, et al.
Pubblicazione: (2024)

Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation
di: Mansour, Elham Amin, et al.
Pubblicazione: (2024)

AI Guided Early Screening of Cervical Cancer
di: S I, Dharanidharan, et al.
Pubblicazione: (2024)

Multimodal Fusion of Histopathology Images and Electronic Health Records for Early Breast Cancer Diagnosis
di: Khandelwal, Aditya Shribhagwan, et al.
Pubblicazione: (2026)

On the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification
di: Sobrinho, Yasmin Rodrigues, et al.
Pubblicazione: (2026)

Enhanced Cascade Prostate Cancer Classifier in mp-MRI Utilizing Recall Feedback Adaptive Loss and Prior Knowledge-Based Feature Extraction
di: Luo, Kun, et al.
Pubblicazione: (2024)

An Innovative Framework for Breast Cancer Detection Using Pyramid Adaptive Atrous Convolution, Transformer Integration, and Multi-Scale Feature Fusion
di: Pour, Ehsan Sadeghi, et al.
Pubblicazione: (2026)

Cross-Stage Attention Multi-Expert Network for Radiologist-Inspired Breast Ultrasound Diagnosis
di: Zhai, Xinyang, et al.
Pubblicazione: (2026)

Externally Validated Multi-Task Learning via Consistency Regularization Using Differentiable BI-RADS Features for Breast Ultrasound Tumor Segmentation
di: Zhang, Jingru, et al.
Pubblicazione: (2025)

DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
di: Wagner, Felix, et al.
Pubblicazione: (2025)

SkinGPT-X: A Self-Evolving Collaborative Multi-Agent System for Transparent and Trustworthy Dermatological Diagnosis
di: Chen, Zhangtianyi, et al.
Pubblicazione: (2026)

Semantic-Topological Graph Reasoning for Language-Guided Pulmonary Screening
di: Xue, Chenyu, et al.
Pubblicazione: (2026)

Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution
di: Bang, Junseo, et al.
Pubblicazione: (2025)

DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations
di: Suxing, Liu, et al.
Pubblicazione: (2025)

Enhancing Breast Cancer Detection with Vision Transformers and Graph Neural Networks
di: Cai, Yeming, et al.
Pubblicazione: (2025)

Bridging Accuracy and Interpretability: Deep Learning with XAI for Breast Cancer Detection
di: Chhetri, Bishal, et al.
Pubblicazione: (2025)

Automatized Self-Supervised Learning for Skin Lesion Screening
di: Useini, Vullnet, et al.
Pubblicazione: (2023)

Video-based Exercise Classification and Activated Muscle Group Prediction with Hybrid X3D-SlowFast Network
di: Pasula, Manvik, et al.
Pubblicazione: (2024)

WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters
di: Lou, Ange, et al.
Pubblicazione: (2023)

PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis
di: Li, Yanfei, et al.
Pubblicazione: (2025)