Computational Pathology

Computational Pathology contains computerized cell and cell nucleaus detection, segmentation and staining estimation. Now days, forest models are competent to learn from expert annotated images the differences between various kinds of cancer related outcomes. This new field emerges at the border of pathology and computer science and shows high potential to revolutionize established workflows in research and clinic, since not only computational models get faster and more efficient than before but also since an incredible amount of training data is being generated in modern hospitals

Computational Pathology contains computerized cell and cell nucleaus detection, segmentation and staining estimation. Now days, forest models are competent to learn from expert annotated images the differences between various kinds of cancer related outcomes. This new field emerges at the border of pathology and computer science and shows high potential to revolutionize established workflows in research and clinic, since not only computational models get faster and more efficient than before but also since an incredible amount of training data is being generated in modern hospitals

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