metadata

dataset_info:
  features:
    - name: image
      sequence:
        sequence: uint8
    - name: head
      dtype: uint8
    - name: vacuole
      dtype: uint8
    - name: acrosome
      dtype: uint8
  splits:
    - name: train
      num_bytes: 4359000
      num_examples: 1000
    - name: valid
      num_bytes: 1046160
      num_examples: 240
    - name: test
      num_bytes: 1307700
      num_examples: 300
  download_size: 4962520
  dataset_size: 6712860
license: cc-by-sa-4.0
task_categories:
  - image-classification
pretty_name: The Modified Human Sperm Morphology Analysis Dataset

MHSMA: The Modified Human Sperm Morphology Analysis Dataset

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.

Source

Make sure to visit the Github page.

@article{javadi2019novel,
  title={A novel deep learning method for automatic assessment of human sperm images},
  author={Javadi, Soroush and Mirroshandel, Seyed Abolghasem},
  journal={Computers in Biology and Medicine},
  volume={109},
  pages={182--194},
  year={2019},
  doi={10.1016/j.compbiomed.2019.04.030}
}