Automated rare sperm identification from low-magnification microscopy images of dissociated microsurgical testicular sperm extraction samples using deep learning

To develop a machine learning algorithm to detect rare human sperm in semen and microsurgical testicular sperm extraction (microTESE) samples using bright-field (BF) microscopy for nonobstructive azoospermia patients.

Source: Fertility and Sterility - May 10, 2022 Category: Reproduction Medicine Authors: Ryan Lee, Luke Witherspoon, Meghan Robinson, Jeong Hyun Lee, Simon P. Duffy, Ryan Flannigan, Hongshen Ma Tags: Original article Source Type: research