Abstract: Objective: Tongue image segmentation is a crucial step in the intelligent recognition of tongue diagnosis in Traditional Chinese Medicine (TCM). Existing deep learning-based tongue image ...
This paper introduces a 3D semantic segmentation ... image segmentation, especially in automated training and accurate segmentation of complex structures. The model can accurately segment the sinus ...
most of which was required for registration to the reference volume and post-processing to upsample the detected kidney labels at the original CT image resolution. CNNs contour detection required ...
It is widely used in various computer vision tasks, such as image classification, object detection, and semantic segmentation. Resnet50 has demonstrated excellent results on the ImageNet dataset and ...
Understanding of machine learning/deep learning techniques for image analysis (e.g., segmentation, classification, object detection). Good to Have: Expertise in atmospheric correction models and ...
PromeAI's image ... history and redownload the enlarged photos without using too much GPU power. None of your upscaled pictures are used for machine learning, and they are not shared or showcased.
He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels. A frequent speaker at corporations, he has been a TEDx speaker, a Singularity ...
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...
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