Histology segmentation using active learning on regions of interest in oral cavity squamous cell carcinoma
In digital pathology, deep learning has been shown to have a wide range of applications, from cancer grading to segmenting structures like glomeruli. One of the main hurdles for digital pathology to be truly effective is the size of the dataset needed for generalization to address the spectrum of po...
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Aineistotyyppi: | Kirja |
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Elsevier,
2022-01-01T00:00:00Z.
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A1234.567 |
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