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Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2020.105621
Abstract: BACKGROUND AND OBJECTIVE Automated follicle detection in ovarian ultrasound volumes remains a challenging task. An objective comparison of different follicle-detection approaches is only possible when all are tested on the same data. This paper describes…
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Keywords:
detection algorithms;
detection;
follicle detection;
database ... See more keywords
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Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad7e3d
Abstract: Hair follicle detection technology has developed rapidly in recent years. Traditional manual detection methods are labor-intensive and inefficient. To address this problem, we propose a real-time hair follicle detection model called Hair-YOLO based on YOLOv8.…
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Keywords:
follicle;
hair follicle;
hair;
follicle detection ... See more keywords