How Does Amazon Rekognition Work in Cancer Image Analysis?
The workflow typically involves several steps:
Data Collection: A vast collection of labeled medical images, such as X-rays, MRIs, and CT scans, is gathered. Training the Model: The collected data is used to train the deep learning model to recognize cancerous cells and tissues. Analysis: The trained model analyzes new images to detect and highlight potential cancerous regions. Validation: The results are validated by medical professionals to ensure accuracy.
