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Found 5 papers, 0 papers with code
Automated interpretation of congenital heart disease from multi-view echocardiograms
Our video-based model can diagnose with an accuracy of 93. 9\% (binary classification), and 92. 1\% (3-class classification) in a collected 2D video testing set, which does not need key-frame selection and view annotation in testing.
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
However, the performance of FL can be constrained by the limited availability of labeled data in small institutes and the heterogeneous (i. e., non-i. i. d.)
Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire
The superior performance of our system shows the validity of combining facial video recording with the SDS score for more accurate self-diagnose.
Interpreting Depression From Question-wise Long-term Video Recording of SDS Evaluation
To automatically interpret depression from the SDS evaluation and the paired video, we propose an end-to-end hierarchical framework for the long-term variable-length video, which is also conditioned on the questionnaire results and the answering time.
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization
The ground distance matrix can be pre-defined following a priori of hierarchical semantic risk.
