Biofeedback
发表于 2025-3-30 08:43:38
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deactivate
发表于 2025-3-30 15:07:01
Glaucoma Detection Based on Deep Learning Network in Fundus Images based on deep learning technique. The first is the multi-label segmentation network, named M-Net, which solves the optic disc and optic cup segmentation jointly. M-Net contains a multi-scale U-shape convolutional network with the side-output layer to learn discriminative representations and produc
扩张
发表于 2025-3-30 16:48:08
Thoracic Disease Identification and Localization with Limited Supervisionilding a highly accurate prediction model for these tasks usually requires a large number of images manually annotated with labels and finding sites of abnormalities. In reality, however, such annotated data are expensive to acquire, especially the ones with location annotations. We need methods tha
材料等
发表于 2025-3-30 21:13:10
Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI resonance images (DCE-MRI) at state-of-the-art accuracy. In contrast to previous methods based on computationally expensive exhaustive search strategies, our method reduces the inference time with a search approach that gradually focuses on lesions by progressively transforming a bounding volume un
BORE
发表于 2025-3-31 02:45:58
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oblique
发表于 2025-3-31 08:11:58
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散步
发表于 2025-3-31 10:51:18
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Indebted
发表于 2025-3-31 13:54:51
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mutineer
发表于 2025-3-31 21:11:37
Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restorationy and blood flow in virtually live time. However, effective visualization exposes patients to radiocontrast pharmaceuticals and extended scan times. Higher radiation dosage exposes patients to potential risks including hair loss, cataract formation, and cancer. To alleviate these risks, radiation do
摘要
发表于 2025-4-1 01:22:06
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