NNCPR
importedsoftware/nncpr
Practical Applications of Deep Learning: Classifying the most common categories of plain radiographs in a PACS using a neural network (NNCPR)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- healthcAIr
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/healthcAIr/NNCPR
- Documentation
- unknown
- Tags
- classification · network · neural · nncpr · pacs · radiographs
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- PACmegneural
MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data
- CrossTalkeRnetwork
R package to do the Ligand Receptor Analysis Visualization
Network analysis and visualization of drug-drug interactions with NetworkX and Pyvis
- Metaboversenetwork
Visualization and analysis platform for metabolic data and network pattern recognition
- mne-lslnetwork
A framework for real-time brain signal streaming with MNE-Python.
- aditpacs
ADIT (Automated DICOM Transfer) is a swiss army knife to exchange DICOM data between various systems by using a convenient web frontend and DICOMweb compatible API client.
- api.github.com/repos/healthcAIr/NNCPRretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2020-09-15, 3 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/20.json→ .entries["nncpr"]
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