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EchoStream-3D

imported

software/echostream-3d

Quality-aware adaptive streaming segmentation for volumetric ultrasound research

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

EchoStream-3D project image
GitHub preview card for jiff3/EchoStream-3D. 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
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
jiff3.github.io/EchoStream-3D/
Repository
github.com/jiff3/EchoStream-3D
Documentation
unknown
Tags
medical-imaging · pytorch · reproducible-research · segmentation · streaming-inference · streamlit · ultrasound · uncertainty-quantification
Regulatory
unknown
similar by tags

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    PyTorch + Streamlit demo for CAMUS echocardiography segmentation with real-time confidence and image-quality feedback.

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    Official repo to paper

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    (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

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    All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

  • CBIM-Medical-Image-Segmentationmedical-imaging · pytorch · segmentation

    A PyTorch framework for medical image segmentation

sources
  1. api.github.com/repos/jiff3/EchoStream-3D
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-07, 4 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/60.json→ .entries["echostream-3d"]

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