Datasets:
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README.md
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num_examples: 300
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download_size: 4962520
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dataset_size: 6712860
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---
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#
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num_examples: 300
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download_size: 4962520
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dataset_size: 6712860
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license: cc-by-sa-4.0
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task_categories:
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- image-classification
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pretty_name: The Modified Human Sperm Morphology Analysis Dataset
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---
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# MHSMA: The Modified Human Sperm Morphology Analysis Dataset
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The MHSMA dataset is a collection of human sperm images from 235 patients with male factor infertility. Each image is labeled by experts for normal or abnormal sperm acrosome, head, vacuole, and tail.
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# Source
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Make sure to visit the [Github page](https://github.com/soroushj/mhsma-dataset).
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```
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@article{javadi2019novel,
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title={A novel deep learning method for automatic assessment of human sperm images},
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author={Javadi, Soroush and Mirroshandel, Seyed Abolghasem},
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journal={Computers in Biology and Medicine},
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volume={109},
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pages={182--194},
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year={2019},
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doi={10.1016/j.compbiomed.2019.04.030}
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}
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```
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