An explainable machine learning approach for cervical cancer screening: decoding morphological diagnostic drivers
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Background: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-induced misdiagnoses. This study evaluated the diagnostic capacity, subpopulatio... ...
