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The article discusses the advancements in image analysis and machine learning techniques for cancer detection. It highlights the impact of better equipment, availability of public datasets, and computer technology in pushing the boundaries of AI-based systems. The use of pre-processing methods and conventional machine learning approaches are also discussed, along with the role of deep learning techniques in providing accurate diagnoses. However, the lack of explainability in DL models is also mentioned.
