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README.md
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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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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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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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2. Change the directory:
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```
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%cd /content/MultiCaReClassifier
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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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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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```
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