| Title |
Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
|
|---|---|
| Published in |
Kidney International, August 2020
|
| DOI | 10.1016/j.kint.2020.07.044 |
| Pubmed ID | |
| Authors |
Catherine P. Jayapandian, Yijiang Chen, Andrew R. Janowczyk, Matthew B. Palmer, Clarissa A. Cassol, Miroslav Sekulic, Jeffrey B. Hodgin, Jarcy Zee, Stephen M. Hewitt, John O’Toole, Paula Toro, John R. Sedor, Laura Barisoni, Anant Madabhushi, The Nephrotic Syndrome Study Network, J. Sedor, K. Dell, M. Schachere, J. Negrey, K. Lemley, E. Lim, T. Srivastava, A. Garrett, C. Sethna, K. Laurent, G. Appel, M. Toledo, L. Barisoni, L. Greenbaum, C. Wang, C. Kang, S. Adler, C. Nast, J. LaPage, John H. Stroger, A. Athavale, M. Itteera, A. Neu, S. Boynton, F. Fervenza, M. Hogan, J. Lieske, V. Chernitskiy, F. Kaskel, N. Kumar, P. Flynn, J. Kopp, J. Blake, H. Trachtman, O. Zhdanova, F. Modersitzki, S. Vento, R. Lafayette, K. Mehta, C. Gadegbeku, D. Johnstone, S. Quinn-Boyle, D. Cattran, M. Hladunewich, H. Reich, P. Ling, M. Romano, A. Fornoni, C. Bidot, M. Kretzler, D. Gipson, A. Williams, J. LaVigne, V. Derebail, K. Gibson, A. Froment, S. Grubbs, L. Holzman, K. Meyers, K. Kallem, J. Lalli, K. Sambandam, Z. Wang, M. Rogers, A. Jefferson, S. Hingorani, K. Tuttle, M. Bray, M. Kelton, A. Cooper, B. Freedman, J.J. Lin |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 33% |
| France | 3 | 13% |
| Antarctica | 2 | 8% |
| Belgium | 1 | 4% |
| Turkey | 1 | 4% |
| Spain | 1 | 4% |
| Unknown | 8 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 67% |
| Scientists | 3 | 13% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
| Unknown | 1 | 4% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 158 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 13% |
| Student > Ph. D. Student | 19 | 12% |
| Student > Master | 9 | 6% |
| Other | 7 | 4% |
| Student > Doctoral Student | 7 | 4% |
| Other | 25 | 16% |
| Unknown | 71 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 14% |
| Computer Science | 17 | 11% |
| Engineering | 12 | 8% |
| Biochemistry, Genetics and Molecular Biology | 9 | 6% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 17 | 11% |
| Unknown | 77 | 49% |