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Google Cloud AutoML Vision for Medical Image Classification
Pneumonia Detection using Chest X-Ray Images
Google Cloud AutoML Vision simplifies the creation of custom vision models for image recognition use-cases. The concepts of neural architecture search and transfer learning are used under the hood to find the best network architecture and the optimal hyperparameter configuration that minimizes the loss function of the model. This article uses Google Cloud AutoML Vision to develop an end-to-end medical image classification model for Pneumonia Detection using Chest X-Ray Images.
Table of Contents
- Pneumonia Detection using Chest X-Ray Images
- About the Dataset
- Part 1: Enable AutoML Cloud Vision on GCP
- Part 2: Download the Dataset to Google Cloud Storage
- Part 3: Preparing the Dataset for Modeling
- Part 4: Modeling with Cloud AutoML Vision
- Part 5: Testing the Model
- Part 6: Conclusion
About the Dataset
The dataset contains:
- 5,232 chest X-ray images from children.
- 3,883 of those images are samples of bacterial (2,538) and viral…