ViViT-Medical-Video-Classification
importedsoftware/vivit-medical-video-classification
Developed the ViViT model for medical video classification, enhancing 3D organ image analysis using transformer-based architectures.
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
- Documentation
- unknown
- Tags
- medical-imaging · medmnist · positional-encoding · tubelet-transformer · video-classification · vivit
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- MedViTV2medical-imaging · medmnist
MedViTV2: Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention (Applied Soft Computing 2025)
- attention-based-bilstm-sleep-scoringvideo-classification
Codes related to the paper "Attention-Based CNN-BiLSTM for Sleep States Classification of Spatiotemporal Wide-Field Calcium Imaging Data"
- MVG-CNNvideo-classification
Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"
- 3d-prostate-segmentationmedical-imaging
Segmentation of prostate from MRI scans
- Abdomen-CT-Image-Segmentationmedical-imaging
The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.
- ACC-UNetmedical-imaging
ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets
- api.github.com/repos/AliAmini93/ViViT-Medical-Video-Classificationretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-05-22, 27 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/54.json→ .entries["vivit-medical-video-classification"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.