Abstract
We describe a miniaturized optical coherence tomography (OCT) catheter and a residual neural network (ResNet)‐based deep learning model to perform human colorectal tissue classification. An area under the receiver operating characteristic (ROC) curve (AUC) of 0.975 is achieved to distinguish between normal and cancerous colorectal tissue images.Further details can be found in the article by Hongbo Luo, Shuying Li, Yifeng Zeng, Hassam Cheema, Ebunoluwa Otegbeye, Safee Ahmed, William C. Chapman Jr, Matthew Mutch, Chao Zhou, and Quing Zhu (e202100349)image
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
