High-accuracy tumor detection with label-free microscopy and neural networks : part of the process. (IMAGE)

SPIE--International Society for Optics and Photonics

High-accuracy tumor detection with label-free microscopy and neural networks : part of the process.

Caption

(A) Pancreatic neuroendocrine neoplasms (PNENs) and normal pancreatic tissue samples were imaged (B) at five different wavelengths to capture changes in tissue autofluorescence as a result of cancer. Results showed that (C) machine learning was able to classify the tissue types with good accuracy as the number of features given to the algorithm increased up to six, but (D) convolutional neural networks (CNNs) had much higher accuracy. 

Credit

N. Daigle et al., doi 10.1117/1.BIOS.2.4.045001.

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