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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.

, , , , , , , , , и . IWBBIO, стр. 160-172. Copicentro Editorial, (2014)

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The Method of Immunohistochemical Images Standardization., , , , и . IP&C, том 84 из Advances in Intelligent and Soft Computing, стр. 213-221. Springer, (2010)Instrumentation Evaluation for Hyperspectral Microscopy Targeting Enhanced Medical Histology., , , , , , , и . DCIS, стр. 1-6. IEEE, (2021)The METINUS Plus method for nuclei quantification in tissue microarrays of breast cancer and axillary node tissue section., , , , , , и . Biomed. Signal Process. Control., (2017)Improvements to Segmentation Method of Stained Lymphoma Tissue Section Images., , , , и . CORES, том 403 из Advances in Intelligent Systems and Computing, стр. 609-617. Springer, (2015)Evaluation of cytokeratin-19 in breast cancer tissue samples: a comparison of automatic and manual evaluations of scanned tissue microarray cylinders., , , , , , , , , и . IWBBIO, стр. 160-172. Copicentro Editorial, (2014)Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology., , , , , , и . Medical Imaging: Digital Pathology, том 11320 из SPIE Proceedings, стр. 113200U. SPIE, (2020)Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images., , , , , , , , и . Medical Imaging: Digital Pathology, том 11320 из SPIE Proceedings, стр. 113200V. SPIE, (2020)