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Print: 2229-5089, Online: 2153-3539
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| Constellation loss: Improving the efficiency of deep metric learning loss functions for the optimal embedding of histopathological images |
| Alfonso Medela, Artzai Picon |
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Background: Deep learning diagnostic algorithms are proving comparable results with human experts in a wide variety of tasks, and they still require a huge amount of well-annotated data for t... |
| J Pathol Inform 2020,
11:38 (26 November 2020) |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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| Using image registration and machine learning to develop a workstation tool for rapid analysis of glomeruli in medical renal biopsies |
| David C Wilbur, Jason R Pettus, Maxwell L Smith, Lynn D Cornell, Alexander Andryushkin, Richard Wingard, Eric Wirch |
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Background: Prescreening of biopsies has the potential to improve pathologists' workflow. Tools that identify features and display results in a visually thoughtful manner can enhance effi... |
| J Pathol Inform 2020,
11:37 (07 November 2020) |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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| Reproducible color gamut of hematoxylin and eosin stained images in standard color spaces |
| Wei- Chung Cheng |
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A whole-slide imaging (WSI) system is a digital color imaging system used in digital pathology with the potential to substitute the conventional light microscope. A WSI system digitalizes a glass sl... |
| J Pathol Inform 2020,
11:36 (06 November 2020) |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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