Camera Systems for Deep Learning in Medical & Life Sciences

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Author: Peter Behringer
Thursday, August 26, 2021
Basler AG

Deep learning algorithms enable a steadily growing number of new applications that were previously considered unsolvable for machines. This White Paper explains the four steps of a typical image processing process and describes the three types of vision systems for deep learning: embedded systems, PC-based systems, and FPGA frame grabber-based systems.

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File: BAS2108Deep_Learning_MLS.pdf (2.00 MB)
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camerasImaging components & systemsmicroscopes & accessoriesImage Analysisimage processingvision systemscamera systemsdeep learningartificial intelligenceartificial neural networksmedical & life sciencesMicroscopydigital pathologyvirtual stainingPC-basedFPGAFPGA Frame Grabber-based SystemsEmbedded Vision
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