BAIT
发表于 2025-3-25 06:44:58
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Seminar
发表于 2025-3-25 08:34:21
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Proponent
发表于 2025-3-25 13:51:50
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bacteria
发表于 2025-3-25 17:03:13
Echo from Noise: Synthetic Ultrasound Image Generation Using Diffusion Models for Real Image Segmentrial segmentation respectively. This represents a relative increase of 9.2, 3.3 and 13.9% in Dice scores compared to the previous state-of-the-art. The proposed pipeline has potential for application to a wide range of other tasks across various medical imaging modalities.
偶像
发表于 2025-3-25 20:36:22
GAJA - Guided self-Acquisition of Joint ultrAsound imagesioner collects a reference US image of a specific scan during an in-person clinical visit. Anatomical markers for the target joint are automatically extracted and then used as a reference to guide the patient in properly positioning the US probe.
割让
发表于 2025-3-26 02:09:45
Conference proceedings 2023n with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023...The 19 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organ
牌带来
发表于 2025-3-26 06:16:11
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秘方药
发表于 2025-3-26 11:50:04
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旧石器
发表于 2025-3-26 14:09:05
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neutral-posture
发表于 2025-3-26 19:56:27
Echo from Noise: Synthetic Ultrasound Image Generation Using Diffusion Models for Real Image Segmentemantic label maps. We show that these synthetic images can serve as a viable substitute for real data in the training of deep-learning models for ultrasound image analysis tasks such as cardiac segmentation. To demonstrate the effectiveness of this approach, we generated synthetic 2D echocardiogram