朴素
发表于 2025-3-25 07:09:25
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ferment
发表于 2025-3-25 08:58:52
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无弹性
发表于 2025-3-25 15:40:18
Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervisecial tasks in image analysis. We propose a methodology to improve segmentability of histological images by making use of image-to-image translation. We generate virtual stains and exploit the additional information during segmentation. Specifically a very basic pixel-based segmentation approach is a
贪心
发表于 2025-3-25 17:46:51
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lymphoma
发表于 2025-3-25 23:28:38
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badinage
发表于 2025-3-26 03:09:36
Automated Segmentation of DCIS in Whole Slide Imageswe train several U-Net architectures – deep convolutional neural networks designed to output probability maps – to segment DCIS in whole slide images and validate the optimal patch field of view necessary to achieve superior accuracy at the slide-level. We showed a U-Net trained at 5x achieved the b
Nomadic
发表于 2025-3-26 07:29:04
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omnibus
发表于 2025-3-26 10:43:55
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Exclude
发表于 2025-3-26 15:50:13
Improving Prostate Cancer Detection with Breast Histopathology Imagesostate tissue images. With the help of transfer learning, classification and segmentation performance of neural network models have been further increased. However, due to the absence of large, extensively annotated, publicly available prostate histopathology datasets, several previous studies emplo
演讲
发表于 2025-3-26 20:07:15
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