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Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
To give an overview of the current state of research, this review examines 70 publicly available research studies that have proposed AI-based methods for whole-slide histopathology images of human gliomas, covering the diagnostic tasks of subtyping (16/70), grading (23/70), molecular marker prediction (13/70), and survival prediction (27/70).
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