Fig. 1 | Scientific Reports

Fig. 1

From: Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy

Fig. 1The alternative text for this image may have been generated using AI.

In vivo confocal microscopy image capture and CNN architecture. (A) InVivage confocal endomicroscope (Optiscan Imaging Ltd, Australia) with handheld probe (inset) (B) Captured image stacks in an en face orientation extended up to 400 μm depth into the oral epithelium, (C) Schematic of a captured of image stack along the z axis, (D) The modified Inception_v3 CNN architecture for the PMAC diagnostic models.

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