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Evaluation of cytokeratin-19 in breast cancer tissue samples: a comparison of automatic and manual evaluations of scanned tissue microarray cylinders.

, , , , , , , , , and . IWBBIO, page 160-172. Copicentro Editorial, (2014)

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Instrumentation Evaluation for Hyperspectral Microscopy Targeting Enhanced Medical Histology., , , , , , , and . DCIS, page 1-6. IEEE, (2021)The Method of Immunohistochemical Images Standardization., , , , and . IP&C, volume 84 of Advances in Intelligent and Soft Computing, page 213-221. Springer, (2010)Clustered nuclei splitting based on recurrent distance transform in digital pathology images., , , , , and . EURASIP J. Image Video Process., 2020 (1): 26 (2020)Evaluation of cytokeratin-19 in breast cancer tissue samples: a comparison of automatic and manual evaluations of scanned tissue microarray cylinders., , , , , , , , , and . IWBBIO, page 160-172. Copicentro Editorial, (2014)Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology., , , , , , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 113200U. SPIE, (2020)Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images., , , , , , , , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 113200V. SPIE, (2020)Case Report: Effects of Image Compression on Automatic Count of Immunohistochemically Stained Nuclei in Digital Images., , , , , , , , , and . J. Am. Medical Informatics Assoc., 15 (6): 794-798 (2008)The METINUS Plus method for nuclei quantification in tissue microarrays of breast cancer and axillary node tissue section., , , , , , and . Biomed. Signal Process. Control., (2017)Improvements to Segmentation Method of Stained Lymphoma Tissue Section Images., , , , and . CORES, volume 403 of Advances in Intelligent Systems and Computing, page 609-617. Springer, (2015)