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README.md
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pipeline_tag: image-segmentation
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This model performs both segmentation and classification on chest radiographs (X-rays).
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For frontal radiographs, the model segments the: 1) right lung, 2) left lung, and 3) heart.
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The model also predicts the chest X-ray view (AP, PA, lateral), patient age, and patient sex.
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The [CheXpert](https://stanfordmlgroup.github.io/competitions/chexpert/) (small version) and [NIH Chest X-ray](https://nihcc.app.box.com/v/ChestXray-NIHCC) datasets were used to train the model.
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pipeline_tag: image-segmentation
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---
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This model performs both segmentation and classification on chest radiographs (X-rays).
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The model uses a `tf_efficientnetv2_s` backbone with a U-Net decoder for segmentation and linear layer for classification.
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For frontal radiographs, the model segments the: 1) right lung, 2) left lung, and 3) heart.
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The model also predicts the chest X-ray view (AP, PA, lateral), patient age, and patient sex.
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The [CheXpert](https://stanfordmlgroup.github.io/competitions/chexpert/) (small version) and [NIH Chest X-ray](https://nihcc.app.box.com/v/ChestXray-NIHCC) datasets were used to train the model.
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