U-Net: deep learning for cell counting, detection, and morphometry

U-Net: deep learning for cell counting, detection, and morphometry. Falk, T., Mai, D., Bensch, R., Çiçek, Ö., Abdulkadir, A., Marrakchi, Y., Böhm, A., Deubner, J., Jäckel, Z., Seiwald, K., Dovzhenko, A., Tietz, O., Dal Bosco, C., Walsh, S., Saltukoglu, D., Tay, T. L., Prinz, M., Palme, K., Simons, M., Diester, I., Brox, T., & Ronneberger, O. Nature Methods, 16(1):67–70, January, 2019. 00365

Paper doi bibtex

@article{falk_u-net_2019,
	title = {U-{Net}: deep learning for cell counting, detection, and morphometry},
	volume = {16},
	issn = {1548-7091, 1548-7105},
	shorttitle = {U-{Net}},
	url = {http://www.nature.com/articles/s41592-018-0261-2},
	doi = {10/gfrfxw},
	language = {en},
	number = {1},
	urldate = {2021-01-11},
	journal = {Nature Methods},
	author = {Falk, Thorsten and Mai, Dominic and Bensch, Robert and Çiçek, Özgün and Abdulkadir, Ahmed and Marrakchi, Yassine and Böhm, Anton and Deubner, Jan and Jäckel, Zoe and Seiwald, Katharina and Dovzhenko, Alexander and Tietz, Olaf and Dal Bosco, Cristina and Walsh, Sean and Saltukoglu, Deniz and Tay, Tuan Leng and Prinz, Marco and Palme, Klaus and Simons, Matias and Diester, Ilka and Brox, Thomas and Ronneberger, Olaf},
	month = jan,
	year = {2019},
	note = {00365},
	pages = {67--70},
}

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