What Advantages Do Neural Networks Offer in Cancer Detection?
One of the key advantages of neural networks in cancer detection is their ability to handle large and complex datasets. Traditional methods may struggle with the sheer volume of data generated by modern medical imaging techniques such as MRI, CT scans, and histopathological images. Neural networks can process this data more efficiently, leading to faster and more accurate diagnosis. They can also improve the accuracy of cancer detection by identifying subtle patterns that may be missed by human observers.
