---
title: chest-x-ray-basic
description: "This model performs both segmentation and classification on chest radiographs (X-rays). The model uses a tfefficientnetv2s backbone with a U-Net decoder for segmentation and linear layer for classification. For frontal radiographs, the model segments the: 1) right lung, 2) left lung, and 3) heart. The model also predicts the chest X-ray view (AP, PA, lateral), patient age, and patient sex. The…"
tags:
- chest_x_ray
- cxr_basic
- feature-extraction
- imaging
- medical_imaging
- radiology
- x_ray
source_url: https://huggingface.co/ianpan/chest-x-ray-basic
---

# chest-x-ray-basic

> **Mirrored metadata.** This card is reproduced on Atlas for discovery. The artifact itself is not hosted here — follow the source link for the files, and refer to the upstream licence for terms of use.

This model performs both segmentation and classification on chest radiographs (X-rays). The model uses a tfefficientnetv2s backbone with a U-Net decoder for segmentation and linear layer for classification. For frontal radiographs, the model segments the: 1) right lung, 2) left lung, and 3) heart. The model also predicts the chest X-ray view (AP, PA, lateral), patient age, and patient sex. The…

Upstream identifier: `ianpan/chest-x-ray-basic`.

**Source:** https://huggingface.co/ianpan/chest-x-ray-basic

_This model is part of the Atlas demo catalogue. See the repository history for provenance._