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

Sperm morphology is crucial in semen analysis for diagnosing male infertility. To reduce limitations in visual assessment, such as variability in biological conditions and the biologist’s experience, developing computer-based sperm analysis techniques is imperative. In this study, a total...

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Bibliographic Details
Main Authors: Abdulsamet Aktas, Gorkem Serbes, Merve Huner Yigit, Nizamettin Aydin, Hakki Uzun, Hamza Osman Ilhan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Dataset benchmark
deep learning
diff-quick staining methods
infertility diagnosis
sperm morphology analysis
transformer
Online Access:https://ieeexplore.ieee.org/document/10812754/
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