Auto-US
importedsoftware/auto-us
Auto-US: An Ultrasound Video Diagnosis Agent Using Video Classification Framework and LLMs
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Bean-Young/Auto-US
- Documentation
- unknown
- Tags
- agent · classification · diagnosis · 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.
- Laboratory Diagnosis of Medically Important Dermatophytes: Traditional Methods and New De…classification · diagnosis
Özet Dermatofit enfeksiyonlarında etkenin doğru ve hızlı tanımlanması hasta yönetimi ve uygun tedavilerin planlanması için anahtar roller üstlenir. Direkt inceleme, Wood lambası, mikroskopi, kültür,…
- RFOCTclassification · ultrasound
Classification algorithm that creates a forest of decision trees by principles of group method of data handling (GMDH)
- coursera-ai4meddiagnosis
deeplearning.ai - AI for Medicine Specialization (Andrew Ng, Pranav Rajpurkar)
- DiagnosisAssistantdiagnosis
AI Diagnosis Assistant for Diagnosing Rare Diseases
- DiagnosisExtraction_MLdiagnosis
Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.
- metadiagnosis
:paperclip: About MIMBCD-UI Project
- api.github.com/repos/Bean-Young/Auto-USretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-05-21, 3 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 →
/v1/entries/29.json→ .entries["auto-us"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.