US-Metrics
importedsoftware/us-metrics
Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/sextant-fable/US-Metrics
- Documentation
- unknown
- Tags
- image-quality-assessment · perceptual-metric · ultrasound
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- FocusLiteNNimage-quality-assessment
Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
- ldct-benchmarkimage-quality-assessment
A benchmark for deep learning-based low dose CT image denoising
Python program to convert slices of 2D images to 3D structure
- 3D_RFUltrasound_Reconstructionultrasound
3D Volume Reconstruction of Raw Ultrasound Radiofrequency Data
- AI-TI-RADSultrasound
AI TI-RADS system optimized using genetic algorithm
- apecssultrasound
APECSS is a software toolbox to compute pressure-driven bubble dynamics and the resulting acoustic emissions.
- api.github.com/repos/sextant-fable/US-Metricsretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-04-30, 12 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as Apache-2.0, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/17.json→ .entries["us-metrics"]
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