Neural Networks and Optical Microscopy in Sperm Detection
A new approach that is being tested for feasibility for sperm identification with optical microscopy techniques is the use of deep convolutional neural networks as an image analysis tool. The advantage of these automated analysis methods is that they can be combined with an automated recording of microscope images.
Likoper Shutterstock Rebecca Ingle Forensic Science International Convolutional Neural Networks Public Policy Science International
Source: azooptics.com