MedicalZooPytorch
importedsoftware/medicalzoopytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
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/black0017/MedicalZooPytorch
- Documentation
- unknown
- Tags
- 3d-convolutional-network · brats2018 · brats2019 · deep-learning · densenet · iseg · iseg-challenge · medical-image-processing
- 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.
- 3D-UCapsiseg-challenge
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
- HyperDenseNet3d-convolutional-network
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
- LiviaNET3d-convolutional-network
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A…
- MCTSeg3d-convolutional-network
[Preprint] Official implementation of "A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities".
- 3DRDN-CycleGANdensenet
Deep CNN for performing 3D super resolution on CT/MRI scans
In this project, we introduce a deep learning-based model for predicting age from 12-lead ECG data.
- api.github.com/repos/black0017/MedicalZooPytorchretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-25, 1915 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/55.json→ .entries["medicalzoopytorch"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.