openmedical/registry
← registry

Multi-label-12-lead-ECG-abnormality-classification

imported

software/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.

record
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
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • ResUNet-LCabnormality-detection · ecg · ecg-classification

    2D residual U-Net (ResUNet) and a lead combiner (LC) for 12-lead ECG Abnormality Classification

  • deepslideresnet

    Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework…

  • DenseNet-MURA-PyTorchdensenet · pytorch

    Implementation of DenseNet model on Standford's MURA dataset using PyTorch

  • automatic-ecg-diagnosisecg · ecg-classification

    Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

  • awecgecg · ecg-classification

    Flutter ECG application to Windows and Android.

  • CardioLabecg · ecg-classification

    This is the official repository for CardioLab. A machine and deep learning framework for the estimation and monitoring of laboratory abnormalities throught ECG data.

sources
  1. api.github.com/repos/seorim0/Multi-label-12-lead-ECG-abnormality-classification
    retrieved 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.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/8.json→ .entries["multi-label-12-lead-ecg-abnormality-classification"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.