CAT Scan Liver Cancer

In an international competition to develop machine learning applications for low-dose CT imaging, researchers at China’s Tsinghau University produced an algorithm for automated image reading of early stage lung cancer lesions. According to this piece, “The winning team employed a neural network and put extra effort into annotating images to provide more data points. It also used an additional data set, and broke the challenge into two parts: identifying nodules and then diagnosing cancer. It isn’t yet clear how the best algorithm might measure up to a doctor, because each algorithm provides a probability rather than a definitive outcome.” On the other hand, artificial intelligence might be the key to identifying lesions that are too small for the human eye to see. MORE

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