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ECG-DigitizeNet-Image-to-Time-Series-Digitization-and-Hybrid-CNN-ViT-LLM-Diagnostic

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software/ecg-digitizenet-image-to-time-series-digitization-and-hybrid-cnn-vit-llm-diagnostic

ECG-DigitizeNet: A complete end-to-end system that converts raw 12-lead ECG images into digitized time-series signals, classifies cardiac conditions using a Hybrid CNN–Transformer (ViT-like) deep…

Machine-generated from the listed sources and not yet reviewed by a human.

ECG-DigitizeNet-Image-to-Time-Series-Digitization-and-Hybrid-CNN-ViT-LLM-Diagnostic project image
GitHub preview card for lokesh-poreddy/ECG-DigitizeNet-Image-to-Time-Series-Digitization-and-Hybrid-CNN-ViT-LLM-Diagnostic. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cnn · deep-learning · digitization · ecg · healthcare-ai · kaggle · medical-ai · python · pytorch · signal-processing · transformer · vision-transformer
Regulatory
unknown
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sources
  1. api.github.com/repos/lokesh-poreddy/ECG-DigitizeNet-Image-to-Time-Series-Digitization-and-Hybrid-CNN-ViT-LLM-Diagnostic
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-12-15, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/34.json→ .entries["ecg-digitizenet-image-to-time-series-digitization-and-hybrid-cnn-vit-llm-diagnostic"]

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