Datasets:
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}
}