Dual-Normalization
importedsoftware/dual-normalization
[CVPR‘22] Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization
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
- unknown
- Repository
- github.com/zzzqzhou/Dual-Normalization
- Documentation
- unknown
- Tags
- domain-generalization · medical-image-segmentation
- 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.
- DCACdomain-generalization · medical-image-segmentation
Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.
- SLAugdomain-generalization · medical-image-segmentation
[AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"
- DAG4MIAdomain-generalization
Domain Adaptation and Generalization for Medical Image Analysis
- TRUSGlandSegmentationdomain-generalization
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study
- 3D-UCapsmedical-image-segmentation
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
- ACELossmedical-image-segmentation
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
- api.github.com/repos/zzzqzhou/Dual-Normalizationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-25, 111 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/43.json→ .entries["dual-normalization"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.