Rectal Cancer Treatment Management: Deep-Learning Neural Network Based on Photoacoustic Microscopy Image Outperforms Histogram-Feature-Based Classification

We have developed a novel photoacoustic microscopy/ultrasound (PAM/US) endoscope to image post-treatment rectal cancer for surgical management of residual tumor after radiation and chemotherapy. Paired with a deep-learning convolutional neural network (CNN), the PAM images accurately differentiated...

Descripción completa

Detalles Bibliográficos
Autores principales: Leng, Xiandong, Amidi, Eghbal, Kou, Sitai, Cheema, Hassam, Otegbeye, Ebunoluwa, Chapman, William Jr, Mutch, Matthew, Zhu, Quing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495416/
https://www.ncbi.nlm.nih.gov/pubmed/34631543
http://dx.doi.org/10.3389/fonc.2021.715332

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495416/
https://www.ncbi.nlm.nih.gov/pubmed/34631543
http://dx.doi.org/10.3389/fonc.2021.715332

Ejemplares similares