Datasets Comparison

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. The training, validation, and test sets contain 1000, 240, and 300 images, respectively. Images are available in two different crop sizes: 128x128- and 64x64-pixel. In MHSMA, each instance is a grayscale image capturing a single sperm. The head of the sperm is roughly located at the center of the image. Also, the sperm tail is not entirely visible in the images. Labels can be either 0 (normal, positive) or 1 (abnormal, negative). The dataset is available in .npy format. See the included README or the GitHub repository (https://github.com/soroushj/mhsma-dataset) for more information.

University of Guilan

Medical Imaging, Sperm

Attribution-NonCommercial 3.0 Unported

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. The training, validation, and test sets contain 1000, 240, and 300 images, respectively. Images are available in two different crop sizes: 128x128- and 64x64-pixel. In MHSMA, each instance is a grayscale image capturing a single sperm. The head of the sperm is roughly located at the center of the image. Also, the sperm tail is not entirely visible in the images. Labels can be either 0 (normal, positive) or 1 (abnormal, negative). This dataset is based on the Human Sperm Morphology Analysis Dataset (HSMA-DS). See the included README file or the GitHub repository (https://github.com/soroushj/mhsma-dataset) for more information.

University of Guilan

Medical Imaging, Sperm

Attribution-NonCommercial 3.0 Unported