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Print: 2229-5089, Online: 2153-3539
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| Improving generalization of deep learning models for diagnostic pathology by increasing variability in training data: Experiments on osteosarcoma subtypes |
| Haiming Tang, Nanfei Sun, Steven Shen |
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Background: Artificial intelligence has an emerging progress in diagnostic pathology. A large number of studies of applying deep learning models to histopathological images have been publishe... |
| J Pathol Inform 2021,
12:30 (04 August 2021) |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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| Improving algorithm for the alignment of consecutive, whole-slide, immunohistochemical section Images |
| Cher-Wei Liang, Ruey-Feng Chang, Pei-Wei Fang, Chiao-Min Chen |
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Background: Accurate and precise alignment of histopathology tissue sections is a key step for the interpretation of the proteome topology and cell level three-dimensional (3D) reconstruction... |
| J Pathol Inform 2021,
12:29 (03 August 2021) |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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| Digital image analysis for estimating stromal CD8+ tumor-infiltrating lymphocytes in lung adenocarcinoma |
| Iny Jhun, Daniel Shepherd, Yin P Hung, Emilio Madrigal, Long P Le, Mari Mino-Kenudson |
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Background: Stromal CD8+ tumor-infiltrating lymphocytes (TILs) are an important prognostic and predictive indicator in non-small cell lung cancer (NSCLC). In this study, we aimed to develop a... |
| J Pathol Inform 2021,
12:28 (05 July 2021) |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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