退潮
发表于 2025-3-30 12:09:54
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一夫一妻制
发表于 2025-3-30 13:46:00
Conference proceedings 2019he 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between resear
Invigorate
发表于 2025-3-30 19:46:16
Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annoained on small patches, each containing a single nucleus. Traditional query strategies performed worse than random sampling. A K-centre sampling strategy showed a modest gain. Further investigation is needed in order to achieve significant performance gains using deep active learning for this task.
膝盖
发表于 2025-3-30 21:41:23
Patch Clustering for Representation of Histopathology Imagese the same characteristics. We used a Gaussian mixture model (GMM) to represent each class with a rather small (10%–50%) portion of patches. The results showed that LBP features can outperform deep features. By selecting only 50% of all patches after SOM clustering and GMM patch selection, we receiv
Preserve
发表于 2025-3-31 04:11:23
Deep Features for Tissue-Fold Detection in Histopathology Imagesgurations. Based on the leave-one-out validation strategy, we achieved . accuracy, whereas with augmentation the accuracy increased to .. We have tested the generalization of our method with five unseen WSIs from the NIH (National Cancer Institute) dataset. The accuracy for patch-wise detection was
胆小鬼
发表于 2025-3-31 07:41:18
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mechanism
发表于 2025-3-31 11:23:49
Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Dee