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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...
Autores principales: | Leng, Xiandong, Amidi, Eghbal, Kou, Sitai, Cheema, Hassam, Otegbeye, Ebunoluwa, Chapman, William Jr, Mutch, Matthew, Zhu, Quing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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