Application of EfficientNet-B0 and GRU-based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions.

Xiaoyue ChenXiaowen PuZhirou ChenLanzhen LiKong-Nan ZhaoHaichun LiuHaiyan Zhu

Published in: Cancer medicine (2023)

Our results revealed that as shown by the high accuracy of AI in the classification of colposcopic images, AI exhibited great potential to be an effective tool for the accurate diagnosis of cervical disease and for early therapeutic intervention in cervical precancer.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
machine learning
high resolution
single cell
optical coherence tomography
risk assessment
mass spectrometry