SvANet
importedsoftware/svanet
[TNNLS 2026] SvANet: Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
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/anthonyweidai/SvANet
- Documentation
- unknown
- Tags
- attention-mechanism · computer-vision · deep-learning · medical-image-analysis · medical-image-segmentation · medical-imaging · multi-scale-features · small-object-detection
- 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.
- MSA-2Netattention-mechanism · computer-vision · medical-image-segmentation
[BMVC 2024] Official repository of the paper titled "MSA^2 Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation"
- MedNeXtmedical-image-analysis · medical-image-segmentation · medical-imaging
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
- eye-diagnosis-attention-cnnattention-mechanism · computer-vision
A deep learning framework for automated diagnosis of Diabetic Retinopathy, AMD, and Glaucoma using a Hybrid Attention-CNN model. Combines ResNet50 with self-attention for enhanced accuracy and…
- Facial-Expression-Recognition-FER-for-Mental-Health-Detection-attention-mechanism · computer-vision
Facial Expression Recognition (FER) for Mental Health Detection applies AI models like Swin Transformer, CNN, and ViT for detecting emotions linked to anxiety, depression, PTSD, and OCD. It focuses…
- ADA4MIAcomputer-vision · medical-image-analysis · medical-image-segmentation
Awesome Active Domain Adaptation for Medical Image Analysis
- Polyp-Segmentation-Toolcomputer-vision · medical-image-segmentation · medical-imaging
U-Net polyp segmentation for colonoscopy images, with a TensorFlow and Streamlit app built on the Kvasir-SEG dataset.
- api.github.com/repos/anthonyweidai/SvANetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-01-29, 73 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["svanet"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.