What Are the Limitations of Amazon Rekognition in Cancer Detection?
Despite its advantages, there are limitations to using Amazon Rekognition for cancer detection:
Data Dependency: The accuracy of the model is highly dependent on the quality and quantity of the training data. Interpretability: Deep learning models are often considered âblack boxes,â making it difficult to understand how they arrive at certain conclusions. Ethical Concerns: The use of patient data for training purposes must comply with strict ethical guidelines and privacy regulations.
