Datasets:
File size: 1,239 Bytes
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---
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](https://github.com/soroushj/mhsma-dataset).
```
@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}
}
``` |