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---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- https://www.kaggle.com/datasets/tawsifurrahman/tuberculosis-tb-chest-xray-dataset
widget:
- src: https://huggingface.co/Owos/tb-classifier/blob/main/tb-negative.png
example_title: Negative
- src: https://huggingface.co/Owos/tb-classifier/blob/main/tb-positive.png
example_title: Positive
metrics:
- Accuracy
- Precision
- Recall
---
# Tuberculosis Classifier
# Model description
This is a computer vision model that was built with TensorFlow to classify if a given x-ray scan is positive for Tuberculosis or not.
#Intended uses & limitations
The model was built to help support low-resourced and short-staffed primary healthcare centers in Nigeria. Particularly, the aim to was created a computer-aided diagnosing tool for Radiologists in these centers.
The model has not undergone clinical testing and usage is at ueser's own risk.The model has however been tested on real life data images that are positive for tuberculosis
How to use
Limitations and bias
Training data
Training procedure
Evaluation results
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