Deep Learning-based Automated Rare Sperm Identification from Testes Biopsies
R. Lee, L. Witherspoon, M. Robinson, J. H. Lee, S. P. Duffy, R. Flannigan, H. Ma
The paper develops a CNN to detect rare sperm in testis biopsies, achieving an 85.2% F1 score, which could improve IVF-ICSI success rates for NOA patients.
bioRxiv · Nov 14, 2021 · PreprintBioengineering