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 % cancer image can be detected correctly (sensitivity), 100 % normal image can be detected correctly (specificity), and for overall detection (accuracy). | Detection of cervical cancer based on learning vector quantization and wavelet transform
