Instructions to use dvsreddy/pneumonia-detection-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dvsreddy/pneumonia-detection-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://dvsreddy/pneumonia-detection-model") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
tags:
- medical-imaging
- pneumonia
- chest-xray
- keras
Pneumonia Detection — Chest X-ray Classifier
Binary classifier (pneumonia vs no pneumonia) trained on the RSNA Pneumonia Detection Challenge dataset (26,684 DICOM chest X-rays). Transfer learning from ImageNet (ResNet50V2 / EfficientNetB0), input scaling embedded in the graph — feed raw [0, 255] pixels at the model's input resolution.