Figure 4
From: Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
Examples of images from videos of semen samples with different concentrations (columns) and the four image representations used to train the neural network-based algorithms (rows). Sperm concentration; (A) 4 per x106/mL, (B) 33 per x106/mL, (C) 105 per x106/mL, (D) 192 per x106/mL, and (E) 350 per x106/mL. Image representation; (1) original video, (2) sparse optical flow, (3) dense optical flow, and (4) vertical frame matrix.
