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IEEE/ICACT20240372 Slide.02        [Big Slide]	Oral Presentation
	Introduction. Despite advances in cancer research, the mortality rate of cancer patients is still alarming, rendering it a severe threat to human life Accurate and timely cancer diagnosis is crucial in determining appropriate treatment strategies and improving patient survival rates Traditional diagnostic methods, such as histopathological analysis, imaging techniques, and biomarker assessments, rely on subjective interpretations and may have limitations in terms of sensitivity, specificity, and reproducibility In recent years, advanced machine-learning techniques have emerged as powerful tools to address challenges and enhance cancer diagnosis

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