Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining
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researchers are exploring the use of artificial intelligence and other technologies to improve the diagnosis and treatment of non-small cell lung cancer. various approaches, including deep classification and virtual immunohistochemical staining, are being developed to classify cancer subtypes and predict treatment outcomes. the specific details and applications of these approaches are not entirely clear, with different studies focusing on different aspects of lung cancer diagnosis and treatment.
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