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Prognosis

Predict the remaining useful life

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Showing 326–350 of 900 papers

TitleStatusHype
Developing a Novel Image Marker to Predict the Clinical Outcome of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients—0
Predicting Fatigue Crack Growth via Path Slicing and Re-WeightingCode0
Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics—0
Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models—0
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach—0
Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review—0
High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network—0
Improving Lesion Volume Measurements on Digital Mammograms—0
A comprehensive review on Plant Leaf Disease detection using Deep learning—0
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image AnalysisCode1
AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions—0
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI—0
PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage—0
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images—0
Order-of-mutation effects on cancer progression: models for myeloproliferative neoplasm—0
CRC-ICM: Colorectal Cancer Immune Cell Markers Pattern Dataset—0
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival PredictionCode1
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities—0
A physics-informed machine learning model for reconstruction of dynamic loads—0
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsCode1
Classification of lung cancer subtypes on CT images with synthetic pathological priors—0
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer—0
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR imagesCode0
ERCPMP: An Endoscopic Image and Video Dataset for Colorectal Polyps Morphology and Pathology—0
Integrative AI-Driven Strategies for Advancing Precision Medicine in Infectious Diseases and Beyond: A Novel Multidisciplinary Approach—0
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