VISEM-Tracking, a human spermatozoa tracking dataset - Nature
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May 9, 2023 · The main purpose of this dataset is to find correlations between sperm images obtained by bright field microscopy and sperm DNA quality. However ...
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Dec 6, 2022 · In this regard, we provide a dataset called VISEM-Tracking with 20 video recordings of 30 seconds (comprising 29,196 frames) of wet sperm ...
The 2022 Medico task tackles the challenge of tracking sperm cells of video recordings of spermatozoa. The development dataset contains 20 videos, each one is ...
VISEM-Tracking, a human spermatozoa tracking dataset. Author={Thambawita, Vajira and Hicks, Steven A and Stor{\aa}s, Andrea M and Nguyen, Thu and Andersen, ...
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VISEM-Tracking: Human Spermatozoa Tracking Dataset is a dataset for an object detection task. It is used in the medical industry. The dataset consists of ...
May 9, 2023 · We introduce VISEM-Tracking dataset with expert annotations, enabling deep learning models like YOLOv5 for accurate sperm analysis.
It is a multi-modal dataset containing different data sources such as videos, biological analysis data, and participant data.
Dec 5, 2022 · VISEM-Tracking is a dataset consisting of 20 video recordings of 30s of spermatozoa with manually annotated bounding-box coordinates and a ...
In this paper, we present a two-step deep learning method that is used to predict sperm motility and morphology-based on video recordings of human spermatozoa.
The task is of interest to researchers in the areas of machine learning (classification and detection), visual content analysis, and multimodal fusion. Overall, ...