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While deep learning has catalyzed breakthroughs across numerous domains, its broader adoption in clinical settings is inhibited by the costly and time-intensive nature of data acquisition and annotation. To further facilitate medical machine learning, we present an ultrasound dataset of 10,223 Brightness-mode (B-mode) images consisting of sagittal slices of porcine spinal cords (N=25) before and after a contusion injury.
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The removal of surgical tools from the brain is a critical aspect of post-operative care. Surgical sponges such as cotton balls are one of the most commonly retained tools, as they become visually indistinguishable from the surrounding brain tissue when soaked with blood and can fragment into smaller pieces. This can lead to life-threatening immunological responses and invasive reoperation, demonstrating the need for new foreign body object detection methods.
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The evolution of the power grid is progressively shifting towards a much more dynamic and complex system. Generation sources that are more decentralized and reliant on inverter-based technologies, plus increasing demand for electrification of new types of loads are introducing more challenges to grid stability. Grid operators must adapt, requiring more extensive, granular, and timely data to enable analytics for improved efficiency and development of proactive mitigation strategies.
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256 Views
Speech impairment constitutes a challenge to an individual's ability to communicate effectively through speech and hearing. To overcome this, affected individuals’ resort to alternative modes of communication, such as sign language. Despite the increasing prevalence of sign language, there still exists a hindrance for non-sign language speakers to effectively communicate with individuals who primarily use sign language for communication purposes. Sign languages are a class of languages that employ a specific set of hand gestures, movements, and postures to convey messages.
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4232 Views
in order to provide intelligent calligraphy evaluation assistance system to cope with the processing conditions of calligraphy word documents under poor lighting conditions, we jointly established our own data set with a calligraphy teaching company, which are all written on the grid paper, and stored in electronic devices by scanning or photographing, etc., and then split to single-word pictures by using the segmentation method [26-27].
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This dataset consists of Images produced from a Seapix-R multibeam echosounder (MBES) pointed at a fish farming cage. The MBES was attached outside the cage on a mounting bracket with a 45 deg downwards tilt, such that most of the cage was within the vertical beamforming capability of the system, with the exception of a small cake-shaped section near the net, 1.5 meters high, extending 5.5 meters into the cage
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We have utilized Ultrasound (US) B-mode imaging to record single agents and collective swarms of microrobots in controlled experimental conditions.
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389 Views
This dataset contains two folders. One folder contains images to be used for image classification and the other folder is used for semantic segmentation.
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188 Views