A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology

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Svetlana Illarionova, Rifat A. Hamoudi, M. Zapevalina, I. Fedin, Nadezhda Alsahanova, Alexander Bernstein, Evgeny Burnaev, V. Alferova, Ekaterina Khrameeva, D. Shadrin, I. Talaat, Ahmed Bouridane, Maxim Sharaev

Published: 2025, Last Modified: 12 Nov 2025Inf. Sci. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Proposed methodology can be applied on real-life biomedical data.•Developed the pipeline for automated feature selection from convoluted complex histopathological dataset.•Several algorithms were tested on histopathological slides to select the best one based on specific parameters.