fetalnav
importedsoftware/fetalnav
Fetal Region Localisation using PyTorch and Soft Proposal Networks (paper: https://arxiv.org/abs/1808.00793)
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
- Homepage
- ntoussaint.github.io/fetalnav
- Repository
- github.com/ntoussaint/fetalnav
- Documentation
- unknown
- Tags
- deep-learning · fetal · object-detection · python · pytorch · ultrasound · weakly-supervised-learning
- 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.
- WSL4MISweakly-supervised-learning
Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.
- rgrgobject-detection
Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"
- rsna-2024-lumbar-spineobject-detection
Silver Medal Solution for the Kaggle Competition: RSNA 2024 Lumbar Spine Degenerative Classification
- hoobarifetal
Bayesian-based fetal genotyping using maternal cell-free DNA and parental sequencing data.
The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ and Python processing and workflow tools necessary to perform motion-robust super-resolution fetal…
- SVRTKfetal
MIRTK based SVR reconstruction
- api.github.com/repos/ntoussaint/fetalnavretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-05-27, 27 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/58.json→ .entries["fetalnav"]
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