An early diagnosis of oral cancer based on three-dimensional convolutional neural networks

• Main Authors: Xu, Shipu, Liu, Chang, Zong, Yongshuo, Chen, Sirui, Lu, Yiwen, Yang, Longzhi, Ng, Eddie Yin Kwee, Wang, Yongtong, Wang, Yunsheng, Liu, Yong, Hu, Wenwen, Zhang, Chenxi
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Mechanical engineering; 2DCNNs; 3DCNNs
• Online Access: https://hdl.handle.net/10356/145837
• Institution: Nanyang Technological University

Three-dimensional convolutional neural networks (3DCNNs), a rapidly evolving modality of deep learning, has gained popularity in many fields. For oral cancers, CT images are traditionally processed using two-dimensional input, without considering information between lesion slices. In this paper, we...