Robust segmentation, shape fitting and morphology computation of high-throughput cell nuclei

Author:

Song Jie,Xiao Liang,Lian Zhichao

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference17 articles.

1. COSATTO E, MILLER M, GRAF H P, et al. Grading nuclear pleomorphism on histological micrographs [C]//Proceedings of International Conference on Pattern Recognition. New York, USA: IEEE, 2008: 1–4.

2. CHEKKOURY A, KHURD P, NI J, et al. Automated malignancy detection in breast histopathological images [C]//Proceedings of SPIE Medical Imaging. San Diego, CA, USA: SPIE, 2012: 831515-1-831515-13.

3. DOYLE S, AGNER S, MADABHUSHI A, et al. Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features [C]//Proceedings of 5th IEEE International Symposium on Biomedical Imaging. Paris, France: IEEE, 2008: 496–499.

4. BASAVANHALLY A, GANESAN S, FELDMAN M, et al. Multi-field-of-viewframework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides [J]. IEEE Transactions on Biomedical Engineering, 2013, 60(8): 3052–3055.

5. LOHSE C M, BLUTE M L, ZINCKE H, et al. Comparison of standardized and non-standardized nuclear grade of renal cell carcinoma to predict outcome among 2042 patients [J]. American Journal of Clinical Pathology, 2002, 118(6): 877–886.

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