GLASS-AI
importedsoftware/glass-ai
Machine learning tool for analysis of lung adenocarcinoma tumors
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/jlockhar/GLASS-AI
- Documentation
- unknown
- Tags
- digital-pathology · lung-cancer-classification · lung-cancer-detection · machine-learning
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ProjectAiAilung-cancer-detection
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved,…
- ACMILdigital-pathology
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
- aestetikdigital-pathology
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- anonymize-slide-python3-guidigital-pathology
Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI
- AtlasPatchdigital-pathology
AtlasPatch: An Efficient and Scalable Tool for Whole Slide Image Preprocessing
- breast-epithelium-segmentationdigital-pathology
🌸 Breast epithelium segmentation through IHC-guided supervision
- api.github.com/repos/jlockhar/GLASS-AIretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-20, 5 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/0.json→ .entries["glass-ai"]
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