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Prognosis
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Predict the remaining useful life
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
Segment Anything in Pathology Images with Natural Language
[Beat-to-beat AV nodal assessment] ECG-based beat-to-beat assessment of AV node conduction properties during AF
MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
Universal Laboratory Model: prognosis of abnormal clinical outcomes based on routine tests
Optimized Spectral Fault Receptive Fields for Diagnosis-Informed Prognosis
Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction
ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator
A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning
NSUN2 as a potential prognostic as well as therapeutic target in cancer by regulating m5C modification
Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records
petBrain: A New Pipeline for Amyloid, Tau Tangles and Neurodegeneration Quantification Using PET and MRI
Interpretable phenotyping of Heart Failure patients with Dutch discharge letters
Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions
Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants
Beyond Segmentation: Confidence-Aware and Debiased Estimation of Ratio-based Biomarkers
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
CMRINet: Joint Groupwise Registration and Segmentation for Cardiac Function Quantification from Cine-MRI
Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer
Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0
MambaControl: Anatomy Graph-Enhanced Mamba ControlNet with Fourier Refinement for Diffusion-Based Disease Trajectory Prediction
Zero-Shot Multi-modal Large Language Model v.s. Supervised Deep Learning: A Comparative Study on CT-Based Intracranial Hemorrhage Subtyping
ImplicitStainer: Data-Efficient Medical Image Translation for Virtual Antibody-based Tissue Staining Using Local Implicit Functions
Evaluating Large Language Models for Real-World Engineering Tasks
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
STG: Spatiotemporal Graph Neural Network with Fusion and Spatiotemporal Decoupling Learning for Prognostic Prediction of Colorectal Cancer Liver Metastasis
RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation
Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions
Optimizing chemoradiotherapy for malignant gliomas: a validated mathematical approach
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis
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