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@@ -7,4 +7,33 @@ language:
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  pipeline_tag: image-classification
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  tags:
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  - medical
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pipeline_tag: image-classification
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  tags:
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  - medical
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+ ---
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+ # MultiCaReClassifier for Medical Image Classification
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+
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+ The MultiCaReClassifier is a model ensemble used for multilabel medical image classification. It includes classes such as:
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+ - image_type: 'radiology', 'pathology', 'endoscopy', 'ophthalmic_imaging', 'medical_photograph', 'electrography', 'chart'.
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+ - image_subtype: 'ultrasound', 'x_ray', 'ct', 'mri', 'h&e', 'immunostaining', 'fundus_photograph', 'ekg', 'eeg', etc.
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+ - radiology_region: 'thorax', 'head', 'abdomen', 'upper_limb', 'lower_limb', etc.
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+ - radiology_view: 'frontal', 'sagittal', 'axial', 'oblique', etc.
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+
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+
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+ 1. Clone this repo:
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+ ```
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+ !git clone https://huggingface.co/mauro-nievoff/MultiCaReClassifier
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+ ```
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+
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+ 2. Change the directory:
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+ ```
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+ %cd /content/MultiCaReClassifier
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+ ```
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+
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+ 3. Import the MultiCaReClassifier class:
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+ ```
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+ from MultiCaReClassifier.pipeline import *
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+ ```
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+
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+ 4. Get the predictions for a given image folder:
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+ ```
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+ predictions = MultiCaReClassifier(image_folder = '/content/img')
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+ predictions.data.head()
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+ ```