SE-Attention-Half-UNet
importedsoftware/se-attention-half-unet
Implementation of a compact Attention Half U-Net with Attention Gates and Squeeze-and-Excitation blocks for medical image segmentation. Features a modular PyTorch pipeline, BCE-Dice hybrid loss,…
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
- Documentation
- unknown
- Tags
- attention-gate · binary-segmentation · computer-vision · deep-learning · dice-loss · medical-image-segmentation · pytorch · squeeze-excitation · unet-pytorch
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Lung-Tumor-Segmentation-DSmedical-image-segmentation · pytorch · unet-pytorch
Lung tumor segmentation with the UNet model.
- MCTSegdice-loss · medical-image-segmentation
[Preprint] Official implementation of "A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities".
- MRI-MS-Plaques-Segmentationattention-gate
A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
- Mobile-U-ViTmedical-image-segmentation · unet-pytorch
[ACM MM 2025] Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
- spectral-mamba-analysiscomputer-vision · medical-image-segmentation · pytorch
Comparative spectral analysis of CNNs, Transformers, and State Space Models for medical image segmentation. Introduces AVR-based spectral fingerprinting across architecture paradigms.
- HistoSegdice-loss
HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This…
- api.github.com/repos/ChaitanyaParate/SE-Attention-Half-UNetretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-06-11, 3 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/1.json→ .entries["se-attention-half-unet"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.