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Detection of cervical cancer based on learning vector quantization and wavelet transform

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In this work, 73 cervical cell images that consist of 50 normal images and 23 cancer images are used. 35 normal images and 14 cancer images are used to train the LVQ. Then, 23 normal images and 9 cancer images are used in the testing process. Our results show 88.89 % cancer image can be detected correctly (sensitivity), 100 % normal image can be detected correctly (specificity), and 95.83% for overall detection (accuracy). | Detection of cervical cancer based on learning vector quantization and wavelet transform

TÀI LIỆU LIÊN QUAN

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