Zhen Li, Chu-Mei Zeng, Yan-Gang Dong, Ying Cao, Li-Yao Yu, Hui-Ying Liu, Xun Tian, Rui Tian, Chao-Yue Zhong, Ting-Ting Zhao, Jia-Shuo Liu, Ye Chen, Li-Fang Li, Zhe-Ying Huang, Yu-Yan Wang, Zheng Hu, Jingjing Zhang, Jiu-Xing Liang, Ping Zhou, Yi-Qin Lu
BACKGROUND: Semantic segmentation is crucial in medical image diagnosis. Traditional deep convolutional neural networks excel in image classification and object detection but fall short in segmentation tasks. Enhancing the accuracy and efficiency of detecting high-level cervical lesions and invasive cancer poses a primary challenge in segmentation model development. METHODS: Between 2018 and 2022, we retrospectively studied a total of 777 patients, comprising 339 patients with high-level cervical lesions and 313 patients with microinvasive or invasive cervical cancer...
November 2023: Heliyon