Diagnosis of cervical precancerous lesions based on multimodal feature changes - Peng, Gengyou; Dong, Hua; Liang, Tong; Li, Ling; Liu, Jun (Computers in biology and medicine, 2021)
Keywords: Accuracy; Acetic acid test; Acids; Algorithms; Artificial intelligence; Automatic diagnosis; Biopsy; Cervical cancer; Cervical screening; Cervix; Childrens health; Classification; Cluster analysis; Clustering; Colposcopy; Colposcopy image; Cross correlation; Data acquisition; Deep learning; Diagnosis; Experiments; Feature extraction; Image classification; Internal Medicine; Lesions; Machine learning; Maternal & child health; Medical diagnosis; Medical imaging; Medical personnel; Medical research; Medical screening; Multimodal feature change; Neural networks; Other; Registration; Vagina; Vector quantization; Deep learning; Colposcopy image; Cervical screening; Automatic diagnosis; Acetic acid test; Multimodal feature change; automatic diagnosis; deep learning; cervical screening; colposcopy image; multimodal feature change