lots-iam-gpu
importedsoftware/lots-iam-gpu
Automatic Irregular Texture Detection in Brain MRI without Human Supervision
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/febrianrachmadi/lots-iam-gpu
- Documentation
- unknown
- Tags
- brain-mri · computer-vision · medical-imaging · mri · unsupervised-detection · unsupervised-learning · wmh-segmentation
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- HyperMapp3rmedical-imaging · mri · wmh-segmentation
AICONSlab's white matter hyperintensities (WMH) segmentation algorithm using CNNs
- MOTFMbrain-mri · medical-imaging · mri
Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
- NeuroMorph-Assessmentbrain-mri · medical-imaging · mri
An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.
- Unsupervised_Anomaly_Detection_Brain_MRImri · unsupervised-learning
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
- All-About-the-GANmedical-imaging · unsupervised-learning
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
- BTSC-UNet-ViTcomputer-vision · medical-imaging · mri
🧠 BTSC-UNet-ViT— a🚀brain tumor segmentation & classification system combining 🧩Vision Transformers (ViT) for tumor detection and 🎯 UNet for precise pixel-level segmentation from MRI scans.…
- api.github.com/repos/febrianrachmadi/lots-iam-gpuretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-06-20, 5 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/62.json→ .entries["lots-iam-gpu"]
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