Model Card for Model ID
This is a model that generates whole cell and nuclear masks for spatial proteomics imaging datasets.
Model Details
Model Description
- Developed by: The Van Valen Lab
- Model type: weakly-supervised deep learning spot detection
- Language(s) (NLP): en
- License: Modified Apache 2.0 Noncommercial
Model Sources
- Repository: Github
- Paper: Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning
Uses
In progress
Direct Use
In progress
Out-of-Scope Use
In progress
Bias, Risks, and Limitations
In progress
How to Get Started with the Model
In progress
Training Details
Training Data
In progress
Training Procedure
Preprocessing
In progress
Training Hyperparameters
In progress
Loss function
In progress
Evaluation
Testing Data, Factors & Metrics
Testing Data
In progress
Metrics
In progress
Environmental Impact
- Hardware Type: RTX A6000
- Hours used: 1
- Cloud Provider: Private infrastructure
- Carbon Efficiency: 0.432 kg/kWh
- Carbon Emitted: 0.13 kg eq.
Citation
BibTeX: in progress
APA: in progress
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