Deep-learning-based automated identification and visualization of oral cancer in optical coherence tomography images

HIGHLIGHTS

• who: Zihan Yang and colleagues from the Institute of Modern Optics, Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology, Nankai University, Tianjin, China have published the paper: Deep-Learning-Based Automated Identification and Visualization of Oral Cancer in Optical Coherence Tomography Images, in the Journal: Biomedicines 2023, 802 of /2023/
• what: The authors aim to evaluate deep-learning-based algorithms for OCT images to assist clinicians in oral cancer screening and diagnosis. The aim of this study is to explore the potential of automatic recognition of oral cancer based on deep learning . . .
  

   

  

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