From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology
Abstract: Highlights•A comprehensive and systematic review of MIL in computational pathology.•Organization and analysis of over 190 relevant studies conducted over past 6 years.•Examination of trends and driving factors that have shaped technological advancement.•Technical categorization and detailed introduction of 38 distinct models.•Predictions of potential directions informed by analysis of past developments.
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