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Prognosis

Predict the remaining useful life

Papers

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Showing 801–825 of 900 papers

TitleStatusHype
Deep segmentation networks predict survival of non-small cell lung cancer—0
Dilated deeply supervised networks for hippocampus segmentation in MRICode0
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary—0
The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes—0
3D convolutional neural network for abdominal aortic aneurysm segmentation—0
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers—0
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network—0
A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation—0
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework—0
Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation—0
Apple Machine Learning Algorithms Successfully Detect Colon Cancer but Fail to Predict KRAS Mutation Status—0
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features—0
dynamic Long Short-Term Memory Neural-Network-Based Indict Remaining-Useful-Life Prognosis for Satellite Lithium-ion Battery—0
MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks—0
Multimodal Densenet—0
Toward Efficient Breast Cancer Diagnosis and Survival Prediction Using L-Perceptron—0
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS ChallengeCode0
Risk-Stratify: Confident Stratification Of Patients Based On Risk—0
Towards a more efficient use of process and product traceability data for continuous improvement of industrial performances—0
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data—0
Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations—0
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection—0
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data—0
Atrial scars segmentation via potential learning in the graph-cuts framework—0
Intertrochanteric Fracture Visualization and Analysis Using a Map Projection Technique—0
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