| Autor: |
Anh N. Diep, Caroline Yu, Warren H. Chan, Maiya Mao, Jacqueline Yu, Adam de la Zerda, Erick Blankenberg, Yonatan Winetraub, Kerri E. Rieger, Sumaira Z. Aasi, Edwin Yuan, H. Do, Kavita Y. Sarin, Saba Shevidi, Megan Megan, Itamar Terem, Steven Chu, Vivian Hua, Ziv Lautman |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV. |
| Popis: |
We introduce the concept of a virtual biopsy, by using generative neural networks to synthesize virtual H&E sections from OCT images. To do this, we have developed a novel technique, “optical barcoding”, which has allowed us to construct a large dataset of OCT-H&E image pairs of human skin collected during Mohs surgery. Our results demonstrate the ability to use OCT images to generate high-fidelity virtual H&E sections and entire 3D H&E volumes. We hope that our novel method will allow clinicians to circumvent the time- and resource-consuming step of an invasive biopsy procedure. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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