What Are the Challenges of Using Neural Networks in Cancer Research?
Despite their potential, neural networks also face several challenges in cancer research. One major issue is the need for large, high-quality datasets to train the models. Data privacy concerns and the variability in data quality can make it difficult to gather sufficient training data. Additionally, neural networks can be seen as "black boxes" because their decision-making processes are not always transparent, making it hard to understand how they arrive at specific conclusions.
