A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database

Background Immunohistochemistry (IHC) has played an essential role in the diagnosis of hematolymphoid neoplasms. However, IHC interpretations can be challenging in daily practice, and exponentially expanding volumes of IHC data are making the task increasingly difficult. We therefore developed a mac...

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Main Authors: Yosep Chong (Author), Ji Young Lee (Author), Yejin Kim (Author), Jingyun Choi (Author), Hwanjo Yu (Author), Gyeongsin Park (Author), Mee Yon Cho (Author), Nishant Thakur (Author)
Format: Book
Published: Korean Society of Pathologists & the Korean Society for Cytopathology, 2020-11-01T00:00:00Z.
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