Showing 1 - 1 results of 1 for search 'diff-quick training methods', query time: 0.05s Refine Results
  1. 1
    Hi-LabSpermMorpho: A Novel Expert-Labeled Dataset With Extensive Abnormality Classes for Deep Learning-Based Sperm Morphology Analysis

    Hi-LabSpermMorpho: A Novel Expert-Labeled Dataset With Extensive Abnormality Classes for Deep Learning-Based Sperm Morphology Analysis by Abdulsamet Aktas, Gorkem Serbes, Merve Huner Yigit, Nizamettin Aydin, Hakki Uzun, Hamza Osman Ilhan

    Published 2024-01-01
    “…In this study, a total of 49345 RGB sperm morphology patches were obtained using the proposed image acquisition technique and three different Diff-Quick staining methods: BesLab, Histoplus, and GBL. …”
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: