MedViTV2
importedsoftware/medvitv2
MedViTV2: Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention (Applied Soft Computing 2025)
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/Omid-Nejati/MedViTV2
- Documentation
- unknown
- Tags
- classification · kolmogorov-arnold-networks · medical-image-classification · medical-imaging · medmnist · medmnistv2 · transformers
- 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.
- MedViTclassification · medical-image-classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
- ViViT-Medical-Video-Classificationmedical-imaging · medmnist
Developed the ViViT model for medical video classification, enhancing 3D organ image analysis using transformer-based architectures.
- GlioScanclassification · transformers
IDH Classification for Gliomas using CNN and Transformers.
- BEFUnetmedical-imaging · transformers
A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
- GatedSRPmedical-imaging · transformers
[BMVC 2026 Oral] Gated Spatial Redundancy Projection for Pathology Transformer Attentions
- Medical-Transformermedical-imaging · transformers
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
- api.github.com/repos/Omid-Nejati/MedViTV2retrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-03-10, 105 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/40.json→ .entries["medvitv2"]
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