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prost-t2-classification
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prost-t2-classification

PyPI·Infrastructure

prost-t2-classification is an open-source Python package designed for T2-only fastMRI prostate coil-selection and real-vs-complex classification. It provides a CLI pipeline for medical imaging researchers to automate and accelerate MRI data processing tasks. The tool integrates with PyTorch and is suitable for research and development in medical imaging.

Open Source
CLI
P
Visit PyPI↗

Overview

5 features

prost-t2-classification is a Frameworks & SDKs product. It focuses on automating and accelerating MRI prostate coil selection and classification for medical imaging researchers. It is built as an open-source project for medical imaging researchers. prost-t2-classification is open source under the Open Source license. The product ships for the command line.

prost-t2-classification first shipped in 2026. Development happens publicly on GitHub with 2 commits in the last 90 days. Key capabilities include MRI classification, coil selection, and T2-only processing.

  • ✓MRI classification
  • ✓Coil selection
  • ✓T2-only processing
  • ✓CLI interface
  • ✓PyTorch integration

Tags

fastmriprostate-classificationpytorch-pipelinemedical-imagingcoil-selection

AI capabilities

ImageInference: LocalWeights: Open

Built with & integrations

Runs on
CLI

Trust & compliance

LicenseOpen Source
Verified signals
✓ HTTPS✓ Open Source✓ Free tier✓ GitHub✓ Active maintenance

Recent events

Latest indexed changes and source events

  1. IndexedJul 5, 9:50 AM

    prost-t2-classification verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

Frequently asked questions about prost-t2-classification

What does prost-t2-classification do?
Prost-t2-classification focuses on automating and accelerating MRI prostate coil selection and classification for medical imaging researchers. It is catalogued under Frameworks & SDKs on PulseGate.
Who is prost-t2-classification for?
prost-t2-classification is an open-source project built for medical imaging researchers.
Is prost-t2-classification free?
Yes — prost-t2-classification is open source under the Open Source license and free to use.
What platforms does prost-t2-classification run on?
prost-t2-classification runs on the command line.
Is prost-t2-classification still maintained?
PulseGate's liveness checks currently classify prost-t2-classification as active. The GitHub repository shows 2 commits in the last 90 days.
What are alternatives to prost-t2-classification?
Similar tools tracked by PulseGate include tlmtc, tardis-em, and types-aiobotocore-medical-imaging.tlmtctardis-emtypes-aiobotocore-medical-imaging
When did prost-t2-classification launch?
prost-t2-classification first shipped in 2026.
Is prost-t2-classification open source?
Yes — prost-t2-classification is open source under the Open Source license, developed on GitHub.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
Open Source
First seen
Jul 5, 2026
Activity
🟢 Active
Status
🟢 Active
Built for
medical imaging researchers
Model
Open source
Solves
Automating and accelerating MRI prostate coil selection and classification for medical imaging researchers.

Developer

Meis01
Solo developer
↗ GitHub

Open source

View on GitHub →
⭐ Stars
0
🍴 Forks
0
Open issues
0
Last commit
2w ago
Commits 90d
2
Contributors
1
Authorship
Solo
Default branch
main

Live coverage

Confidence
Low · 64
Indexed
Jul 5, 2026
Lifecycle
Alive
Activity
Active
First seen
Jul 2026
Last seen
2w ago
Identity audit (9)
Entity ID
cmr7m2av50agepm4yidykmyu9
Slug
prost-t2-classification-pypi-org
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 5, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 5, 2026
Canonical URL
https://pypi.org/project/prost-t2-classification

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  • tlmtc
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    github.com
  • types-aiobotocore-medical-imaging
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  • types-aiobotocore-proton
    pypi.org
  • neuroreg
    github.com
  • t2md
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