Imagen de Portada

Pathology-Aware Prototype Evolution via LLM-Driven Semantic Disambiguation for Multicenter Diabetic Retinopathy Diagnosis

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhu, Chunzheng, Lin, Yangfang, Shao, Jialin, Lin, Jianxin, Wang, Yijun
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis
por: Zhu, Chunzheng, et al.
Publicado: (2025)

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution
por: Zhu, Chunzheng, et al.
Publicado: (2026)

fMRI2GES: Co-speech Gesture Reconstruction from fMRI Signal with Dual Brain Decoding Alignment
por: Zhu, Chunzheng, et al.
Publicado: (2025)

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models
por: Lin, Jianxin, et al.
Publicado: (2026)

Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation
por: Zhu, Chunzheng, et al.
Publicado: (2026)

Subspace-Guided Semantic and Topological Invariant Registration for Annotation-Free Ultrasound Plane Quality Control
por: Zhu, Chunzheng, et al.
Publicado: (2026)

TRACE-Bot: Detecting Emerging LLM-Driven Social Bots via Implicit Semantic Representations and AIGC-Enhanced Behavioral Patterns
por: Wang, Zhongbo, et al.
Publicado: (2026)

LLM-Driven Medical Document Analysis: Enhancing Trustworthy Pathology and Differential Diagnosis
por: Kang, Lei, et al.
Publicado: (2025)

DRetNet: A Novel Deep Learning Framework for Diabetic Retinopathy Diagnosis
por: Okuwobi, Idowu Paul, et al.
Publicado: (2025)

Selective Diabetic Retinopathy Screening with Accuracy-Weighted Deep Ensembles and Entropy-Guided Abstention
por: Lin, Jophy
Publicado: (2025)

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model
por: Xiao, Peng, et al.
Publicado: (2025)

Beyond CLIP: Knowledge-Enhanced Multimodal Transformers for Cross-Modal Alignment in Diabetic Retinopathy Diagnosis
por: Samanta, Argha Kamal, et al.
Publicado: (2025)

From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening
por: Chopra, Muskaan, et al.
Publicado: (2025)

AI-Driven Diabetic Retinopathy Screening: Multicentric Validation of AIDRSS in India
por: Dey, Amit Kr, et al.
Publicado: (2025)

VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications
por: van de Laar, Teun, et al.
Publicado: (2024)

Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy
por: Ahamed, Rizwan, et al.
Publicado: (2025)

Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
por: Storås, Andrea M., et al.
Publicado: (2024)

Diabetic Retinopathy Detection Using Quantum Transfer Learning
por: Jain, Ankush, et al.
Publicado: (2024)

Teacher-Aware Evolution of Heuristic Programs from Learned Optimization Policies
por: Chen, Minyu, et al.
Publicado: (2026)

Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution
por: Tian, Zailong, et al.
Publicado: (2025)

Explainable Fundus Image Curation and Lesion Detection in Diabetic Retinopathy
por: Mihai, Anca, et al.
Publicado: (2025)

Integrating Non-Linear Radon Transformation for Diabetic Retinopathy Grading
por: Mohsen, Farida, et al.
Publicado: (2025)

Automated Quantification of Hyperreflective Foci in SD-OCT With Diabetic Retinopathy
por: Okuwobi, Idowu Paul, et al.
Publicado: (2024)

The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations
por: Zhu, Yubo, et al.
Publicado: (2025)

Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation
por: Fu, Mingxi, et al.
Publicado: (2025)

Efficient LLM Reasoning via Variational Posterior Guidance with Efficiency Awareness
por: Chen, Zizhao, et al.
Publicado: (2026)

Category-Aware Semantic Caching for Heterogeneous LLM Workloads
por: Wang, Chen, et al.
Publicado: (2025)

Enhancing Safety in Diabetic Retinopathy Detection: Uncertainty-Aware Deep Learning Models with Rejection Capabilities
por: Ramalingam, Madhushan, et al.
Publicado: (2025)

What Is the Role of AI in Diabetic Retinopathy Screening?
por: Rasit Dinc
Publicado: (2017)

SemAgent: Semantic-Driven Agentic AI Empowered Trajectory Prediction in Vehicular Networks
por: Zhu, Lin, et al.
Publicado: (2025)

Code Evolution for Control: Synthesizing Policies via LLM-Driven Evolutionary Search
por: Guo, Ping, et al.
Publicado: (2026)

Hybrid Fuzzing with LLM-Guided Input Mutation and Semantic Feedback
por: Lin, Shiyin
Publicado: (2025)

Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis
por: Zhu, Zhu, et al.
Publicado: (2025)

Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language
por: Hwang, Minyoung, et al.
Publicado: (2025)

Early Diagnosis of Wasted Computation in Multi-Agent LLM Systems via Failure-Aware Observability
por: Li, Xianyou, et al.
Publicado: (2026)

Advanced Segmentation of Diabetic Retinopathy Lesions Using DeepLabv3+
por: Boulaabi, Meher, et al.
Publicado: (2025)

Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection
por: Hu, Yongting, et al.
Publicado: (2025)

Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning
por: Doshi, Nishi, et al.
Publicado: (2026)

Disambiguate First, Parse Later: Generating Interpretations for Ambiguity Resolution in Semantic Parsing
por: Saparina, Irina, et al.
Publicado: (2025)

SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad Hoc
por: Guzman-Olivares, Daniel, et al.
Publicado: (2025)