Search
Menu
Excelitas PCO GmbH - Industrial Camera 11-24 VS LB

Camera Systems for Deep Learning in Medical & Life Sciences

Facebook X LinkedIn Email
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.

Download White Paper
File: BAS2108Deep_Learning_MLS.pdf (2.00 MB)
To download this white paper, please complete the *required fields before clicking the "Download" button.
Your contact information
* First Name:
* Last Name:
* Email Address:
* Company:
* Country:




When you click "Download", you agree that your personal contact information may be shared with Basler AG and they may contact you about their products and services in the future. You also agree that Photonics Media may contact you with information related to this request, and that you have read and accept our Privacy Policy and Terms and Conditions of Use.

Register or login to auto-populate this form:
Login Register
* Required
camerasImaging components & systemsmicroscopes & accessoriesImage Analysisimage processingvision systemscamera systemsdeep learningartificial intelligenceartificial neural networksmedical & life sciencesMicroscopydigital pathologyvirtual stainingPC-basedFPGAFPGA Frame Grabber-based SystemsEmbedded Vision
We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy. By using this website, you agree to the use of cookies unless you have disabled them.