Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma-Reference-Cited by-同舟云学术

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Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma

Published:2017-08-10 Issue:9 Volume:41 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Banerjee Soma,Saha Monjoy,Arun Indu,Basak Bijan,Agarwal Sanjit,Ahmed Rosina,Chatterjee Sanjoy,Mahanta Lipi B.,Chakraborty Chandan

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/article/10.1007/s10916-017-0792-6/fulltext.html

Reference34 articles.

1. Ponnusamy, M.P., Seshacharyulu, P., Lakshmanan, I., Vaz, A.P., Chugh, S., and Batra, S.K., Emerging role of Mucins in epithelial to Mesenchymal transition. Current Cancer Drug Targets. 13(9):945–956, 2013.

2. Saha, M., Chakraborty, C., Arun, I., Ahmed, R., and Chatterjee, S., An advanced deep learning approach for Ki-67 stained hotspot detection and proliferation rate scoring for prognostic evaluation of breast cancer. Sci. Rep. 7:article number: 3213, 2017

3. Carraway, K.L., Price Schiavi, S.A., Zhu, X., and Komatsu, M., Membrane mucins and breast cancer. Cancer control. 6(6):613–614, 1999.

4. Bae, S.Y., Choi, M.Y., Cho, D.H., Lee, J.E., Nam, S.J., and Yang, J.H., Mucinous carcinoma of the breast in comparision with invasive Ductal carcinoma: Clinicopathologic characteristics and prognosis. J Breast Cancer. 14(4):308–313, 2011.

5. Ha, K.Y., DeLeon, P., and DeLeon, W., Invasive mucinous carcinoma of the breast. Proc (Bayl Univ Med Cent). 26(3):295–297, 2013.

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