Ultrasound image dataset for ovarian follicular development detection in pigs
Year: 2024
Type: data-paper
Abstract: Pigs are one of the largest scale livestock species globally. In large-scale pig farms, the reproductive management of gilts and sows is a critical control point to ensure production capacity and reduce costs. More precisely, the understanding the developmental status of ovarian follicles in pigs is a critical basis for developing and improving management programme of oestrus detection and artificial insemination, a core component that determines sow production performance, but this knowledge is largely lacking. Ultrasound scan is a non-invasive and convenient method to understand the follicular developmental statues. However, there is currently a lack of reliable data to establish imaging standards, making it difficult to provide the most accurate support and reference for reproductive management in pigs. This dataset contains 868 images of ovarian follicles at different developmental stages in gilts and sows in favour of the identification and understanding of sow reproductive condition. To our knowledge, it is the inaugural dataset containing ultrasound images of large animals.
Source: Data in Brief
Authors: Zhicong Wang, Kexiong Liu, Yuqing Song, Qin Li, Lei An, Yan Liu, Jianhui Tian, Jiahua Bai, Shumin Wang
Language: English
Subfield: Agronomy and Crop Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $850
Award: 同期排卵-定时输精技术引发母猪妊娠率下降的机制研究
OpenAlex ID: W4403464832
