armscan_env
importedsoftware/armscan-env
A Gymnasium environment and RL algorithms for navigation on human arms using ultrasound/MRI
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/appliedAI-GmbH/armscan_env
- Documentation
- unknown
- Tags
- gym-environment · gymnasium-environment · mri · reinforcement-learning · rl · ultrasound
- 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.
- biomed_imagingmri · ultrasound
Simulating biomedical imaging modalities (X-Ray, Positron Emission Tomography, Magnetic Resonance Imaging, Ultrasound Imaging) using MATLAB
- EHR-RLreinforcement-learning
The potential for the use of AI is dramatic especially as it can assist family clinicians who are usually overloaded with patients to make better choices for treatment of their type 2 patients in…
- G2P2Creinforcement-learning
Reinforcement Learning based Artificial Pancreas Systems for Controlling Blood Glucose in Type 1 Diabetes.
- GluCoEnvreinforcement-learning
GluCoEnv - Glucose Control Environment, is a simulation environment which aims to facilitate the development of Reinforcement Learning based Artificial Pancreas Systems for Glucose Control in Type 1…
- rl-medicalreinforcement-learning
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
- rl_representationsreinforcement-learning
Learning representations for RL in Healthcare under a POMDP assumption
- api.github.com/repos/appliedAI-GmbH/armscan_envretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-11-19, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/18.json→ .entries["armscan-env"]
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