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ACROBAT - a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology., , , , , , , , , and 8 other author(s). CoRR, (2022)A deep learning based multiscale approach to segment the areas of interest in whole slide images., , and . Comput. Medical Imaging Graph., (2021)Research on Trajectory Tracking Control of Non-holonomic Wheeled Robot Using Backstepping Adaptive PI Controller., , and . ACIRS, page 7-12. IEEE, (2022)Weakly Supervised Segmentation of Histopathology Images: An Insight in Feature Maps Ability for Learning Models Interpretation., , and . VISIGRAPP (5: VISAPP), page 421-427. SCITEPRESS, (2022)A deep learning based multiscale approach to segment cancer area in liver whole slide image., , and . CoRR, (2020)Fair Canonical Correlation Analysis., , , , , , , and . CoRR, (2023)The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue., , , , , , , , , and 31 other author(s). CoRR, (2023)A weakly supervised end-to-end framework for semantic segmentation of cancerous area in whole slide image., , and . Pattern Anal. Appl., 27 (2): 35 (June 2024)