Search Results - ZHAO Si-qi
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A Method for Identifying Cervical Abnormal Cells Based on Sample Benchmark Values by ZHAO Si-qi, LIANG Yi-qin, QIN Jian, HE Yong-jun
Published 2022-12-01The identification of cervical abnormal cells using deep learning methods usually requires a large amount of training data, but these data inevitably use different samples of cervical abnormal cells to participate in model training, and naturally miss the positive and abnormal intracellular controls...
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Two-stage Detection Method for Abnormal Cluster Cervical Cells by LIANG Yi-qin, ZHAO Si-qi, WANG Hai-tao, HE Yong-jun
Published 2022-04-01Abnormal cell detection is a key technique for intelligent assisted diagnosis of cervical cancer, which directly affects the performance of the detection system. However, most cervical abnormal cells exist in the form of clusters. Cells adhere to each other, complex and diverse, which brings challen...
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