Journal
Frontiers in Oncology
Publication Date
1-1-2021
Volume
11
First Page
715332
Document Type
Open Access Publication
DOI
10.3389/fonc.2021.715332
Rights and Permissions
Leng X, Amidi E, Kou S, Cheema H, Otegbeye E, Chapman WJ, Mutch M and Zhu Q (2021) Rectal Cancer Treatment Management: Deep-Learning Neural Network Based on Photoacoustic Microscopy Image Outperforms Histogram-Feature-Based Classification. Front. Oncol. 11:715332. doi: 10.3389/fonc.2021.715332 © 2021 Leng, Amidi, Kou, Cheema, Otegbeye, Chapman, Mutch and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Recommended Citation
Leng, Xiandong; Amidi, Eghbal; Kou, Sitai; Cheema, Hassam; Otegbeye, Ebunoluwa; Chapman, William Jr; Mutch, Matthew; and Zhu, Quing, "Rectal cancer treatment management: Deep-learning neural network based on photoacoustic microscopy image outperforms histogram-feature-based classification." Frontiers in Oncology. 11, 715332 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/11360
Supplementary Tables 1-2 and Supplementary Figures 1-2
