Multi-label-12-lead-ECG-abnormality-classification
importedsoftware/multi-label-12-lead-ecg-abnormality-classification
A Combined ResNet-DenseNet Architecture with ResU Blocks (ResU-Dense) for 12-lead ECG Abnormality Classification
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- abnormality-detection · densenet · ecg · ecg-classification · embs · multilabel-classification · pytorch · resnet
- Regulatory
- unknown
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- ResUNet-LCabnormality-detection · ecg · ecg-classification
2D residual U-Net (ResUNet) and a lead combiner (LC) for 12-lead ECG Abnormality Classification
- Age-Estimation-Using-12-Lead-ECG-Based-on-Deep-Learningdensenet · ecg · resnet
In this project, we introduce a deep learning-based model for predicting age from 12-lead ECG data.
- ECG_MICResNetecg · ecg-classification · resnet
12-lead ECG classification based on 1D ResNet and multi-instance classification
- Clustered-FL-BrainAGEpytorch · resnet
Official implementation of paper "Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach"
- Brainomalyabnormality-detection
[WACV 2024] Official PyTorch implementation of Brainomaly
- nn-common-modulesdensenet · pytorch
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
- api.github.com/repos/seorim0/Multi-label-12-lead-ECG-abnormality-classificationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-16, 24 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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