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Corrections to "Breast Cancer Histopathology Image Analysis: A Review"., , , and . IEEE Trans. Biomed. Eng., 61 (11): 2819 (2014)Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 136. Springer, (2024)WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images., , , , and . CoRR, (2024)Segmentation and Classification of Melanoma and Nevus in Whole Slide Images., , , , , , , and . ISBI, page 263-266. IEEE, (2020)Breast Cancer Histopathology Image Analysis: A Review., , , and . IEEE Trans. Biomed. Eng., 61 (5): 1400-1411 (2014)Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images., , , , and . ISBI, page 618-621. IEEE, (2011)Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images., , , , , , , and . CoRR, (2020)Detecting mitotic figures in breast cancer histopathology images., , and . Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 867607. SPIE, (2013)Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation., , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 632-639. (2016)