AIMC Topic: Acrosome
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Impact of transfer learning for human sperm segmentation using deep learning.
Computers in biology and medicine
Jul 29, 2021
BACKGROUND AND OBJECTIVE: Infertility affects approximately one in ten couples, and almost half of the infertility cases are due to the malefactor. To diagnose infertility and determine future treatment, a semen analysis is performed. Evaluation of s...
A novel deep learning method for automatic assessment of human sperm images.
Computers in biology and medicine
Apr 26, 2019
Sperm morphology analysis (SMA) is a very important factor in the diagnosis process of male infertility. This research proposes a novel deep learning algorithm for malformation detection of sperm morphology using human sperm cell images. Our proposed...
Deep Learning Models for Multi-Part Morphological Segmentation and Evaluation of Live Unstained Human Sperm.
Sensors (Basel, Switzerland)
May 14, 2025
To perform accurate computer vision quality assessments of sperm used within reproductive medicine, a clear separation of each sperm component from the background is critical. This study systematically evaluates and compares the performance of Mask R...
Effect of Cholesterol-loaded Cyclodextrin on Membrane and Acrosome Status of Hariana Bull Sperm during Cryopreservation.
Cryo letters
Jan 1, 2018
BACKGROUND: The membrane and acrosomal integrity of sperm play a vital role in fertilization process; however they are compromised upon cryopreservation.
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